نتایج جستجو برای: v bayes c
تعداد نتایج: 1311493 فیلتر نتایج به سال:
An estimation problem of the mean µ of an inverse Gaussian distribution IG(µ, C µ) with known coefficient of variation c is treated as a decision problem with entropy loss function. A class of Bayes estimators is constructed, and shown to include MRSE estimator as its closure. Two important members of this class can easily be computed using continued fractions
چکیده فرض کنیدg=(v,e) گرافی همبند و بدون جهت باشد و r?1 عددی صحیح باشد. زیرمجموعه ای از رئوس مانند c?v را در نظر بگیرید. به ازای هر راس v?v مجموعه b_r (v) را به صورت b_r (v)={x?v: d(x,v)?r} تعریف می کنیم. اگر به ازای هر راسv?v، همه مجموعه های b_r (v)?c ناتهی و دو به دو متمایز باشند، آن گاه c را کدr-شناسایی می نامیم. اگر به ازای هر راسv?vc ، همه مجموعه های b_r (v)?c ناتهی و دو به دو متمایز باشن...
a two-factor experiment with interaction between factors wherein observations follow an inverse gaussian model is considered. analysis of the experiment is approached via an empirical bayes procedure. the conjugate family of prior distributions is considered. bayes and empirical bayes estimators are derived. application of the procedure is illustrated on a data set, which has previously been an...
Article history: Received 8 July 2008 Revised 12 March 2009 Available online 3 May 2009 This paper analyzes the problem of learning the structure of a Bayes net in the theoretical framework of Gold’s learning paradigm. Bayes nets are one of the most prominent formalisms for knowledge representation and probabilistic and causal reasoning. We follow constraint-based approaches to learning Bayes n...
We will look at the case of a single-item First Price Auction. Our goal will be to estimate the distribution of valuations of the players, by observing samples of bid vectors of players from multiple first price auctions. In particular, we consider the case where we have a data set of m First Price Auctions, each among n bidders. The value v i of each bidder i in each first price auction t, is ...
In this paper, we introduce the concept of linear v{C}ech closure spaces and establish the properties of open sets in linear v{C}ech closure spaces (Lv{C}CS). Here, we observe that the concept of linearity is preserved by semi-open sets, g-semi open sets, $gamma$-open sets, sgc-dense sets and compact sets in Lv{C}CS. We also discuss the concept of relative v{C}ech closure operator, meet and pro...
This article proposes resampling-based empirical Bayes multiple testing procedures for controlling a broad class of Type I error rates, defined as generalized tail probability (gTP) error rates, gTP (q,g) = Pr(g (V(n),S(n)) > q), and generalized expected value (gEV) error rates, gEV (g) = E [g (V(n),S(n))], for arbitrary functions g (V(n),S(n)) of the numbers of false positives V(n) and true po...
J. R. Musser, R. Bayes,* Yu. I. Davydov, P. Depommier, J. Doornbos, W. Faszer, C. A. Gagliardi, A. Gaponenko, D. R. Gill, P. Green, P. Gumplinger, M. D. Hasinoff, R. S. Henderson, J. Hu, B. Jamieson, P. Kitching, D. D. Koetke, A. A. Krushinsky, Yu. Yu. Lachin, J. A. Macdonald, R. P. MacDonald, G. M. Marshall, E. L. Mathie, L. V. Miasoedov, R. E. Mischke, P. M. Nord, K. Olchanski, A. Olin,* R. O...
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