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Parental control software Reviews 2. Parental control software explained. The web is an integral part of our lives. But while the web brings a world of potential straight into our living rooms, the web also carries risks. The challenge of keeping children safe online grows harder by the day. Parents want a simple way to protect their children, without having to constantly watch over their shoulder. ![]() Why is parental control software important? Parental control software gives parents full control over their children’s access to computers.
From setting time limits for computer access, blocking unsafe content, monitoring emails and instant messages (IM) or preventing kids from having undesirable conversations – parental control software allows children to explore the web in complete safety. What does parental control software do? Every parental control program offers different features and different levels of control over what your kids can see and do online. You can expect a few standard features, such as web content filtering and blocking of unsafe websites, to be offered by all programs. You may want a simple filter that detects obscene content online, or you may prefer the ability to monitor every button your child presses on the keyboard, every email they send or receive and every instant message that goes between them and their friends. How does parental control software work? Parental control software gives you choices about what your children can access using your home computers and mobile devices (like cell phones, i. Pods and i. Pads). Many programs offer pre- defined profiles for different age ranges. KidsWatch is a 2008 Award Winning Internet Safety and Parental Control. I tried this software and it is the best parental.If you have children of different ages, you’ll want the ability to define different access levels for your children. Your children may attempt to work around the parental control software, so a key consideration when choosing your program is how difficult the program is to turn off or evade. What to look for in parental control software. Back to top. Filtering and blocking. Parental control programs can block access to websites that are unsuitable for children, so you can let them roam the web in relative safety. Programs can also filter out and mask obscenities – so your children can view entire web pages without seeing the profanity. ![]() Here are 30 best free parental control software. These let you control and monitor the internet usage of your children easily. All these parental control software are. ![]() Ideal if you worry about your children spending too much time online or about them being online when you’re out or asleep. Reports and alerts. Choose software that gives you regular reports of your children’s online activity, or set alerts to be notified whenever your children try to access unsuitable websites or use worrying language in their emails or instant messages with friends. Total protection for cell phones, games and music. Just as you think you’ve protected your children online, you realize they’re accessing the web from their cell phones. Also, it’s worth remembering that kids are crafty and can easily get into trouble when they’re offline, or sending emails, or playing games, or downloading music. Parental control software can cover cell phones, emails and offline activities, but not all programs offer advanced features like i. Tunes download monitoring or age- restricted PC game blocking. Child- proof parental controls. Clever, computer- literate children may notice that parental control software is being used, and they may try to turn it off, or work around it. One popular method of getting beyond the reach of parental controls is the use of proxy websites. Proxy websites are designed to obscure the identity of people online, and can undo the work of parental control software. So if your children are a bit older or slightly more determined you should choose software that can’t be evaded with proxies. Invisible parental control software is desirable because children are less likely to tamper with something if they don’t know it’s there. Ease of use. As much as you want to protect your kids, you don’t want to spend all day monitoring your kids online. Most programs are designed to take over and let you relax while your kids can explore the web, but for greatest ease of use look for parental control programs that allow you to create alerts – so you get an email as soon as your kids go astray. Or choose a program that generates automatic reports of children’s activity online. Software licenses. Many parental control programs are sold for a one- time fee, but others are sold on a monthly or annual subscription basis. Check before you buy and make sure you understand what you’re buying before you click. Help and support. You can typically find fast answers to your questions online, but many parental control vendors offer support by email too. Parental control software is designed to be easy to use and easy to set up – often giving you pre- defined settings that you can then adjust to suit your own children – so you may need very little help and support. Q. What is parental control software? A. Parental control software prevents children from accessing unsafe material online, or seeing obscene language, or from having unacceptable conversations via email or instant messaging services. Parental control software is designed to let children explore the web safely, without the need for constant parental supervision. Q. Does parental control software monitor websites like Facebook and Bebo? A. Parental control software can monitor children’s activity on all kinds of social websites, including Facebook, Bebo and My. Space. Software can alert you when your children receive inappropriate messages and it can mask rude language on- screen, preventing children from seeing anything undesirable. Q. Can I prevent my child from seeing obscene language online? A. Choose a parental control program that includes language filters so you can prevent your children from seeing foul language. The program will then mask any words that you choose to block. Q. Can I prevent my child from uploading pictures? A. Parental control programs can prevent your child from uploading pictures – perfect if you have concerns about your child receiving unwanted attention from strangers online. Q. Can I monitor the conversations my child is having? A. The degree of control ranges from programs that monitor emails and instant messages (IM) to programs that monitor every keystroke typed on the keyboard. Q. Can I prevent my child from commenting on forums and blogs? A. Children can easily forget that everything that happens online is public and open to all. Look for a parental control program that prevents your child from leaving potentially- damaging messages on forums and blogs. Q. Can my child work around the parental control software? A. Most parental control programs are hidden from view. So they protect your children without their knowledge. However, children may realize that some websites are beyond their reach and they may use a proxy website to get around your controls. If your children are older or wiser then choose parental control software that can’t be bypassed with proxy websites. Q. Can I prevent my child from playing violent or obscene games? A. Parental control software can even block access to age restricted computer games. These filters depend on the game being officially rated and certified by an organization such as the Entertainment Software Rating Board (ESRB). Q. Can I see what emails my children are receiving? A. Parental control programs can help you monitor all of your children’s communications – including emails, instant messages (IM) and posts on social networks like Facebook. Q. Can I control what my kids do on their cell phones? A. Cell phone web browsing is increasingly popular and allows children to explore the web wherever they are. Get comprehensive protection with parental control software that monitors cell phone activity. Q. Can I control what my kids see via search engines? A. Even an innocent search may deliver obscene search results, particularly when searching for images. Choose parental control software that prevents your children from turning off the safe search options. Alerts. Recieve an email whenever your kids attempt to view blocked websites or engage in unsafe behavior. IM (instant messaging)Applications like Gmail, Facebook, My. Space and Jabber let people send fast messages back and forth – or chat. Parental control software can monitor these conversations and help you spot damaging behavior early. Masking. Software can hide (or mask) rude words, so your children can still view and use the website, without being bombarded by obscene language. Key- logging. If you want to see everything your children type, choose a program that includes a key- logger. Proxy. Proxy is a website that people use to hide their identity online. Proxies can sometimes be used to sneak around parental controls. So you may prefer a program that cannot be avoided with a proxy website. Remote access. Software that you can access remotely, from other computers – such as your work computer or from a laptop from when you’re away from home. Screenshots. A screenshot is a picture of a computer screen. Parental control software can take pictures of the screen - so you can see exactly what your children can see. Search integration. Choose parental control software with search integration to prevent your children from discovering pornography or obscenities when they use search engines. Locations are in Kitchener, Waterloo and Guelph. Programs run from 8 a. Kitchener Universities Ontario Universities in Canada. 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The subsequent explosion of interest in Bayesian statistics has led not only to extensive research in Bayesian methodology but also to the use of Bayesian methods to address pressing questions in diverse application areas such as astrophysics, weather forecasting, health care policy, and criminal justice. Scientific hypotheses typically are expressed through probability distributions for observable scientific data. These probability distributions depend on unknown quantities called parameters. In the Bayesian paradigm, current knowledge about the model parameters is expressed by placing a probability distribution on the parameters, called the . Bayes' Theorem, an elementary identity in probability theory, states how the update is done mathematically: the posterior is proportional to the prior times the likelihood, or more precisely,$$p(\theta \mid y) = \frac. Over several years, in the late 1. There are many reasons for adopting Bayesian methods, and their applications appear in diverse fields. Many people advocate the Bayesian approach because of its philosophical consistency. Various fundamental theorems show that if a person wants to make consistent and sound decisions in the face of uncertainty, then the only way to do so is to use Bayesian methods. Others point to logical problems with frequentist methods that do not arise in the Bayesian framework. What is Bayesian statistics and why everything else is wrong Michael Lavine. A Bayesian analysis divides information into two types. The investigator is free to choose any prior he or she desires. Total Training Photoshop CS5 Extended Essentials pdf; Making Place Space and Embodiment in the City pdf; O J Made In America Part 3 2016 pdf; Creating A Career Plan pdf; share ebook Harry Potter 1 to 7 Audio. On the other hand, prior probabilities are intrinsically subjective - your prior information is different from mine - and many statisticians see this as a fundamental drawback to Bayesian statistics. Advocates of the Bayesian approach argue that this is inescapable, and that frequentist methods also entail subjective choices, but this has been a basic source of contention between the `fundamentalist' supporters of the two statistical paradigms for at least the last 5. In contrast, it is more the pragmatic advantages of the Bayesian approach that have fuelled its strong growth over the last 2. Powerful computational tools allow Bayesian methods to tackle large and complex statistical problems with relative ease, where frequentist methods can only approximate or fail altogether. ![]() Bayesian modelling methods provide natural ways for people in many disciplines to structure their data and knowledge, and they yield direct and intuitive answers to the practitioner's questions. There are many varieties of Bayesian analysis. The fullest version of the Bayesian paradigm casts statistical problems in the framework of decision making. It entails formulating subjective prior probabilities to express pre- existing information, careful modelling of the data structure, checking and allowing for uncertainty in model assumptions, formulating a set of possible decisions and a utility function to express how the value of each alternative decision is affected by the unknown model parameters. But each of these components can be omitted. Many users of Bayesian methods do not employ genuine prior information, either because it is insubstantial or because they are uncomfortable with subjectivity. The decision- theoretic framework is also widely omitted, with many feeling that statistical inference should not really be formulated as a decision. So there are varieties of Bayesian analysis and varieties of Bayesian analysts. Free Software for Bayesian Statistical Inference. 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Start considering option price models, time series analysis and quantitative trading. It has become clear to me that many of you are interested in learning about the modern mathematical techniques that underpin not only quantitative finance and algorithmic trading, but also the newly emerging fields of data science and statistical machine learning. Quantitative skills are now in high demand not only in the financial sector but also at consumer technology startups, as well as larger data- driven firms. Hence we are going to expand the topics discussed on Quant.
![]() Start to include not only modern financial techniques, but also statistical learning as applied to other areas, in order to broaden your career prospects if you are quantitatively focused. In order to begin discussing the modern . One of the key modern areas is that of Bayesian Statistics. We have not yet discussed Bayesian methods in any great detail on the site so far. This article has been written to help you understand the . It provides us with mathematical tools to update our beliefs about random events in light of seeing new data or evidence about those events. In particular Bayesian inference interprets probability as a measure of believability or confidence that an individual may possess about the occurance of a particular event. We may have a prior belief about an event, but our beliefs are likely to change when new evidence is brought to light. Bayesian statistics gives us a solid mathematical means of incorporating our prior beliefs, and evidence, to produce new posterior beliefs. Bayesian statistics provides us with mathematical tools to rationally update our subjective beliefs in light of new data or evidence. This is in contrast to another form of statistical inference, known as classical or frequentist statistics, which assumes that probabilities are the frequency of particular random events occuring in a long run of repeated trials. ![]() For example, as we roll a fair (i. Bayesian statistics tries to preserve and refine uncertainty by adjusting individual beliefs in light of new evidence. Frequentist vs Bayesian Examples. In order to make clear the distinction between the two differing statistical philosophies, we will consider two examples of probabilistic systems: Coin flips - What is the probability of an unfair coin coming up heads? Bayesian probability theory Bruno A. Bayesian inference in astrophysics” in Maximum entropy and Bayesian methods, Kluwer, 1989. Election of a particular candidate for UK Prime Minister - What is the probability of seeing an individual candidate winning, who has not stood before? The following table describes the alternative philosophies of the frequentist and Bayesian approaches: Example. Frequentist Interpretation. Bayesian Interpretation. Unfair Coin Flip. The probability of seeing a head when the unfair coin is flipped is the long- run relative frequency of seeing a head when repeated flips of the coin are carried out. That is, as we carry out more coin flips the number of heads obtained as a proportion of the total flips tends to the . In particular the individual running the experiment does not incorporate their own beliefs about the fairness of other coins. Prior to any flips of the coin an individual may believe that the coin is fair. After a few flips the coin continually comes up heads. Thus the prior belief about fairness of the coin is modified to account for the fact that three heads have come up in a row and thus the coin might not be fair. After 5. 00 flips, with 4. The posterior belief is heavily modified from the prior belief of a fair coin. Election of Candidate. The candidate only ever stands once for this particular election and so we cannot perform . In a frequentist setting we construct . The probability of the candidate winning is defined as the relative frequency of the candidate winning in the . However another individual could also have a separate differing prior belief about the same candidate's chances. As new data arrives, both beliefs are (rationally) updated by the Bayesian procedure. A key point is that different (intelligent) individuals can have different opinions (and thus different prior beliefs), since they have differing access to data and ways of interpreting it. However, as both of these individuals come across new data that they both have access to, their (potentially differing) prior beliefs will lead to posterior beliefs that will begin converging towards each other, under the rational updating procedure of Bayesian inference. In the Bayesian framework an individual would apply a probability of 0 when they have no confidence in an event occuring, while they would apply a probability of 1 when they are absolutely certain of an event occuring. If they assign a probability between 0 and 1 allows weighted confidence in other potential outcomes. In order to carry out Bayesian inference, we need to utilise a famous theorem in probability known as Bayes' rule and interpret it in the correct fashion. In the following box, we derive Bayes' rule using the definition of conditional probability. However, it isn't essential to follow the derivation in order to use Bayesian methods, so feel free to skip the box if you wish to jump straight into learning how to use Bayes' rule. Deriving Bayes' Rule. We begin by considering the definition of conditional probability, which gives us a rule for determining the probability of an event $A$, given the occurance of another event $B$. An example question in this vein might be . We can actually write. This is a very natural way to think about probabilistic events. As more and more evidence is accumulated our prior beliefs are steadily . For every night that passes, the application of Bayesian inference will tend to correct our prior belief to a posterior belief that the Moon is less and less likely to collide with the Earth, since it remains in orbit. In order to demonstrate a concrete numerical example of Bayesian inference it is necessary to introduce some new notation. Firstly, we need to consider the concept of parameters and models. A parameter could be the weighting of an unfair coin, which we could label as $\theta$. Thus $\theta = P(H)$ would describe the probability distribution of our beliefs that the coin will come up as heads when flipped. The model is the actual means of encoding this flip mathematically. In this instance, the coin flip can be modelled as a Bernoulli trial. Bernoulli Trial. A Bernoulli trial is a random experiment with only two outcomes, usually labelled as . The probability of the success is given by $\theta$, which is a number between 0 and 1. The probability of seeing data $D$ under a particular value of $\theta$ is given by the following notation: $P(D. This is denoted by $P(\theta. Notice that this is the converse of $P(D. So how do we get between these two probabilities? It turns out that Bayes' rule is the link that allows us to go between the two situations. Bayes' Rule for Bayesian Inference. This is the strength in our belief of $\theta$ without considering the evidence $D$. Our prior view on the probability of how fair the coin is. This is the (refined) strength of our belief of $\theta$ once the evidence $D$ has been taken into account. After seeing 4 heads out of 8 flips, say, this is our updated view on the fairness of the coin. This is the probability of seeing the data $D$ as generated by a model with parameter $\theta$. If we knew the coin was fair, this tells us the probability of seeing a number of heads in a particular number of flips. P(D)$ is the evidence. This is the probability of the data as determined by summing (or integrating) across all possible values of $\theta$, weighted by how strongly we believe in those particular values of $\theta$. If we had multiple views of what the fairness of the coin is (but didn't know for sure), then this tells us the probability of seeing a certain sequence of flips for all possibilities of our belief in the coin's fairness. The entire goal of Bayesian inference is to provide us with a rational and mathematically sound procedure for incorporating our prior beliefs, with any evidence at hand, in order to produce an updated posterior belief. What makes it such a valuable technique is that posterior beliefs can themselves be used as prior beliefs under the generation of new data. Hence Bayesian inference allows us to continually adjust our beliefs under new data by repeatedly applying Bayes' rule. There was a lot of theory to take in within the previous two sections, so I'm now going to provide a concrete example using the age- old tool of statisticians: the coin- flip. Coin- Flipping Example. In this example we are going to consider multiple coin- flips of a coin with unknown fairness. We will use Bayesian inference to update our beliefs on the fairness of the coin as more data (i. The coin will actually be fair, but we won't learn this until the trials are carried out. At the start we have no prior belief on the fairness of the coin, that is, we can say that any level of fairness is equally likely. In statistical language we are going to perform $N$ repeated Bernoulli trials with $\theta = 0. We will use a uniform distribution as a means of characterising our prior belief that we are unsure about the fairness. This states that we consider each level of fairness (or each value of $\theta$) to be equally likely. We are going to use a Bayesian updating procedure to go from our prior beliefs to posterior beliefs as we observe new coin flips. This is carried out using a particularly mathematically succinct procedure using conjugate priors. We won't go into any detail on conjugate priors within this article, as it will form the basis of the next article on Bayesian inference. It will however provide us with the means of explaining how the coin flip example is carried out in practice. 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Click here for how to enter without purchasing or registering a product and Official Rules. Sponsor: LG Electronics Alabama, Inc., 2. James Record Road, Huntsville, AL 3. Failure to register your product does not diminish your warranty rights. Harvard Business Publishing - Case Method Teaching. What is Case Method Teaching? Case method teaching immerses students into realistic business situations. Cases provide the reality of managerial decision making — which includes incomplete information, time constraints, and conflicting goals — as students learn how to analyze business situations. The case method packs more experience into each hour of learning than any other instructional approach. It stimulates students' thinking and encourages discussion. Not only is it the most relevant and practical way to learn managerial skills, it's exciting and fun. Shapiro. Have a complete set of teaching objectives and a collection of likely board structures and questions. Have the students accept and maintain ownership of the discussion. If the teacher takes ownership of the class, the students can avoid their responsibility for maintaining the discussion, and the process will degenerate to a lecture. Listen. As student ownership of the discussion is important, the instructor's role as listener is critical in establishing that ownership. The instructor should limit their own comments and listen carefully to students. This encourages students to listen to each other and view participation as serious. Nurture the discussion process even if that means trading off coverage of a case. Put particular emphasis on the development of a good discussion process in early classes, especially the first two. Doing this sets the tone for the process throughout the course. DATECITYHOSTINFOAugust 1. Boston, MAHBS campus. Online registration has closed.
![]() Already registered? October 1. 4, 2. 01. Salt Lake City, UTThe University of Utah. Part I. Register now. October 2. 1- 2. 2, 2. ![]() ![]() Ahmedabad, India. IIMAPart I. Register now. ![]() ![]() November 1. 8- 1. Boston, MA HBS Campus. Part I. Register now. PREPARING A CASE STUDY: A Guide for Designing and Conducting a Case Study for. A case study is a story about something unique. THE CASE STUDY METHOD OF TEACHING INTERNAL AUDITING by Mort Dittenhofer Florida State University, USA Philosophy of Using Case Studies Case studies provide a sense of. December 2, 2. 01. Vienna, Austria. WU Vienna. Part I. Register now.*Advanced seminar prerequisite: Part I seminar attendance. PREPARE STUDENTS FOR CASE LEARNINGWhile the business case is a powerful learning tool, many students find that interpreting and writing about cases for the first time can be daunting. The Case Analysis Coach is an online, self- paced tutorial that introduces students to the key concepts and intellectual processes required for the analysis, interpretation, and discussion of business case studies. It is ideally assigned as students prepare to analyze a case for the first time. |
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January 2017
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