Welcome to Live Chat
Welcome to LiveWebTutors Services, World's leading Academic solutions provider with Millions of Happy Students.
In A Hurry? Get A Callback
Since World War 2, a body of knowledge had developed known as Bayesian decision theory whose purpose is to provide a solution of problems involving decision making under uncertainty. Now a days Bayesian probability is known as “Bayes theorem” named after a British Mathematician Thomas Bayes (1702-1761) and published in 1763 has become one of the most memoirs in the history of mathematics and being under various controversies. The contribution of this theory consists primarily of a unique method of calculating conditional probabilities. This Bayes theorem approach used to solve problems of determining the probability of some events,A,given that another event B ,has been observed i.e. determining the value of P(A/B).The event A is usually thought of as sample information so that Bayesian’s rule is concerned with determining the probability of an event given certain sample information. For ex.A sample output of 2 defectives in 50 trials(event A) might be used to estimate that machine is not working properly (event B) or you may use the results of your first examination in statistics (event A) as sample evidence in estimating the the probability of getting first class(event B).
Bayesian Probability is based on formula for conditional probability. Let’s see:
A1 and A2 =A set of events that are mutually exclusive (the two events cannot occur together) and exhaustive (the combination of two events in entire experiment), and
B = A sample event which intersects each of events, as shown in the diagram below:
Observe the diagram. The part B which is within A1 represents the area “A1 and B” and A2 represents “A2 and B”
Then the probability of an event A1 given event B, is
P (A1/B) = P (A1 and B)/P (B)
And, similarly the probability of an event A2 givenevent B,is
P (A2/B) =P (A2 and B)/P (B)
Where , P (B) = P (A1 and B) + P (A2 and B),
P (A1 and B) = P (A1) * P (B/A1), and
P (A2 and B) = P (A2)* P (A2/B)
Probabilities that are being revised before by Bayes’ rule arecalled simply prior probabilities or priori because they are determined before these sample information is taken into consideration. A probability which has gone under revision of Bayes’rule is called posterior probability; it is also called revised probabilities because they are getting by revising the prior probabilities by gaining additional information. Revisedprobabilities are always conditional probabilities.
Some interesting points worth noting about Bayesian’ probability:
It deals with conditional probability; its interpretation is different from general conditional probabilities .The general conditional probabilities ask “what is the probability of experimental results and sample given the state value? Where Bayesian probabilities asks “what is the probability of state value given the experimental result and sample?
When we are talking about Bayesian probability, different decision- maker may assign different probabilities to same set of states of nature. We may also conduct experiment by using the posterior probabilities of previous experiment as prior probabilities. The more evidence we accumulate, prior probabilities became less important.
The notion of prior and posterior in Bayesian’ probability is relative to given sample outcome.
There is no deadline that can stop our writers from delivering quality assignments to the students.
Get authentic and unique assignments by using our 100% plagiarism-free services.
The experienced team of Live web tutors has got your back at all times of the day. Get connected with our customer support executives to receive instant and live solutions for your assignment problems.
We can build quality assignments in the subjects you're passionate about. Be it Engineering and Literature or Law and Marketing we have an expert writer for all.
Get premium service at a pocket-friendly rate. At live web tutors, we understand the tight budget of students and thus offer our services at highly affordable prices.
Quite fast and dedicated team of professionals, I must say. Although I have tried a few, but nothing could beat their effort!
26 Oct 2020
Maya
Extremely reliable and proficient PhD scholars, who are more than happy to help you 24/7. You can choose your own writer and get assistance.
26 Oct 2020
Taif
I have been really impressed with the samples offered online, which is when I decided to give them a try. Truly, they are the best!
26 Oct 2020
Nada
It can get difficult to find a reliable service, but not anymore. Thankfully I came across the best academic service in the country.
26 Oct 2020
Manar
Completely satisfied with their service! Each and every page and section has been written with constructive research and thought process.
26 Oct 2020
Maryam