Examples of using Bayesian in English and their translations into Indonesian
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Why Bayesian Is Better.
That's an implementation of Bayesian theory.
Bayesian Theory and Applications.
Building the Bayesian network.
In Bayesian Theory and Applications.
People also translate
They also use XGBoost,which hyperparameter has been fine-tuned using Bayesian Optimization.
Not Bayesian, maybe, but still fundamentally healthy.
To reach(ii), he appeals to Carnap's theory of inductive probability,which is(from the Bayesian point of view) a way of assigning prior probabilities that naturally implements induction.
Normally a Bayesian would not be concerned with such issues, but it can be important in this situation.
For anyone looking for a first insight intoold Tommy Bayes(other than our own article on the Bayesian method) that chapter is a great place to start, but this book is worth reading for more than a stats primer.
Can hone our Bayesian instincts by seeking out different experiences, perspectives and other people's ideas.
During the first year students will, in addition, take two courses in econometrics, two courses on the theories and methods in the area of survey methodology andcourses in computational statistics and Bayesian statistics.
Eventually, in Part 2,we will hit the bull between its eyes with an advanced concept taken from the Bayesian approach to statistics and map, in real-time, for any return-series its loss probabilities.
They used Bayesian network modeling- a graphical model using probability, random variables and conditional dependencies- to combine data of ancient climates, herpes DNA and fossils and determine the probability of HSV-2 and how it might be transmitted.
Now an international team of researchers led by Nasser Najibi and Naresh Devineni at The City College of New Yorkis offering a novel physically based Bayesian network model for inference and prediction of flood duration.
Many, but not all, rely on a particular approach to this known as Bayesian reasoning to incorporate observational and experimental evidence into what we know and to update our belief in a particular description of the universe.
The course provides basic understanding of representing games and strategies,the extensive form(which computer scientists call game trees), Bayesian games(modeling things like auctions), repeated and stochastic games.
He uses Bayesian probability"taking account not only of the order and functioning of nature but also of the'fit' between human intelligence and the universe, whereby one can understand its workings, as well as human aesthetic, moral, and religious experience.
In many practical applications, parameter estimation for Bayes models uses the method of maximum likelihood; in other words, one can work with the naive Bayes model without believing in Bayesian probability or using any Bayesian methods.
Nowadays, as several philosophers at the workshop said,Popperian falsificationism has been supplanted by Bayesian confirmation theory, or Bayesianism, a modern framework based on the 18th-century probability theory of the English statistician and minister Thomas Bayes.
They combine a Bayesian statistical approach with a large grid of modeled young stellar SEDs to determine the most probable continuation of each individual SED into the blended, longer-wavelength bands and thus leads to the determination of the most likely value of each star's mass, age, and environmental parameters.
We model the evolution of Pama-Nyungan languages as the gain and loss of cognates along the branches of an unknown family tree,using an approach called Bayesian phylogenetic inference to infer the set of language trees that makes the cognate data most likely.
The iExCN algorithm was developed based on Bayesian statistics, which is fundamentally different from commonly used statistics methodologies, and usually provides more accurate estimation of statistical associations, though it involves more complicated computation and longer processing time,” said Dr. Lin Xu, Instructor in the Departments of Clinical Sciences and Pediatrics.
Carlo Rovelli, a proponent of loop quantum gravity(string theory's rival) who is based at Aix-Marseille University in France,objected that Bayesian confirmation theory does not allow for an important distinction that exists in science between theories that scientists are certain about and those that are still being tested.
The iExCN algorithm was developed based on Bayesian statistics, which is fundamentally different from commonly used statistics methodologies, and usually provides more accurate estimation of statistical associations, though it involves more complicated computation and longer processing time,” said Dr. Lin Xu, Instructor in the Departments of Clinical Sciences and Pediatrics and with the Quantitative Biomedical Research Center.
The reason is that the background knowledge that Good and others use can not be expressed in the form of a sample proposition- in particular,variants of the standard Bayesian approach often suppose(as Good did in the argument quoted above) that the total numbers of ravens, non-black objects and/or the total number of objects, are known quantities.