代码搜索：Bayesian
找到约 1,632 项符合「Bayesian」的源代码
代码结果 1,632
www.eeworm.com/read/454131/7397640
c bayesys3.c
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
// Bayesian Inference
//
// Filename: bayesys3.c
//
// Purpose: Obtain sample objects from poster
www.eeworm.com/read/449504/7502129
m ar_gd.m
% PURPOSE: An example using ar_g(),
% prt(),
% plt(),
% Bayesian gibbs sampling for the ar model
%----------------------------------------------
www.eeworm.com/read/449504/7502794
m test_bayes2.m
% PURPOSE: A comparison of Bayesian and ML estimates
% using a large dataset
%---------------------------------------------------
% USAGE: test_bayes2
%------------------
www.eeworm.com/read/449504/7503015
m bcasetti_d.m
% PURPOSE: An example of using bcasetti
% Bayesian version of Casetti's spatial expansion model
%
%---------------------------------------------------
% USAGE: b
www.eeworm.com/read/440842/7680266
m ar_gd.m
% PURPOSE: An example using ar_g(),
% prt(),
% plt(),
% Bayesian gibbs sampling for the ar model
%----------------------------------------------
www.eeworm.com/read/492929/6414173
m ar_gd.m
% PURPOSE: An example using ar_g(),
% prt(),
% plt(),
% Bayesian gibbs sampling for the ar model
%----------------------------------------------
www.eeworm.com/read/415220/11080128
m multi_optimized_measures.m
%-----------------------------------------------------------------
% This code generates Figure 4 (optimized) of the following paper:
% "Bayesian Compressive Sensing" (Preprint, 2007)
% The datase
www.eeworm.com/read/287177/8712480
cpp main.cpp
//---------------------------------------------------------------------------
/*
Book: AI for Game Developers
Authors: David M. Bourg & Glenn Seemann
Example: Bayesian tech
www.eeworm.com/read/287177/8712491
~cpp main.~cpp
//---------------------------------------------------------------------------
/*
Book: AI for Game Developers
Authors: David M. Bourg & Glenn Seemann
Example: Bayesian tech
www.eeworm.com/read/461264/7230479
pro linmix_err.pro
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;+
; NAME:
; LINMIX_ERR
; PURPOSE:
; Bayesian approach to linear regression with errors in both X and Y
; E