代码搜索：Multinomial
找到约 224 项符合「Multinomial」的源代码
代码结果 224
www.eeworm.com/read/13871/284294
m multirnd.m
function r = multirnd(theta,k)
%MULTIRND - Random vector from multinomial distribution.
% r = multirnd(theta,k) returns a vector randomly selected
% from the multinomial distribution with paramete
www.eeworm.com/read/408292/11398172
m equiv_classes_hier_hmm.m
function [equiv_class,param_equiv_class,link]=equiv_classes_hier_hmm(onames,B,D)
%equiv_class: vector. (ordered) nodes having the same CPT have same value
%param_equiv_class: vector. (ordered)
www.eeworm.com/read/179705/9341721
changelog
2006-03-26 Brian Gough
* multinomial.c (gsl_ran_multinomial_lnpdf): use gsl_sf_lnfact
instead of gsl_sf_lngamma for an integer argument
2006-03-17 Brian Gough
www.eeworm.com/read/484096/1271970
changelog
2006-03-26 Brian Gough
* multinomial.c (gsl_ran_multinomial_lnpdf): use gsl_sf_lnfact
instead of gsl_sf_lngamma for an integer argument
2006-03-17 Brian Gough
www.eeworm.com/read/461264/7230555
pro multinom.pro
;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;
;+
; NAME:
; MULTINOM
; PURPOSE:
; SIMULATE MULTINOMIAL RANDOM VARIABLES
;
; AUTHOR : BRANDON C. KELLY, STEWARD OBS., APR 2006
;
; IN
www.eeworm.com/read/436945/7758459
readme
This is version 0.3 of the "Discriminant Analysis Toolbox" with major
bug fixes from the first and second versions and with the addition of
logistic discriminant anlsyis and multinomial classification
www.eeworm.com/read/328078/13047122
readme
This is version 0.3 of the "Discriminant Analysis Toolbox" with major
bug fixes from the first and second versions and with the addition of
logistic discriminant anlsyis and multinomial classification
www.eeworm.com/read/203086/5041916
dfm udlgopprmspvmlogreg.dfm
inherited dlgOpPrmSpvMLogReg: TdlgOpPrmSpvMLogReg
Left = 456
Top = 391
Caption = 'Multinomial Logistic Regression'
ClientHeight = 325
ClientWidth = 320
PixelsPerInch = 96
TextHeig
www.eeworm.com/read/361765/10036807
rd mcmultinomdirichlet.rd
\name{MCmultinomdirichlet}
\alias{MCmultinomdirichlet}
\title{Monte Carlo Simulation from a Multinomial Likelihood with a
Dirichlet Prior}
\description{
This function generates a sample from th
www.eeworm.com/read/361765/10036904
h mcmcmnl.h
// MCMCmnl.h contains multinomial logit functions called by both the
// metropolis hastings and slice sampling implemenetation of MCMCmnl,
// such as a function that returns the log posterior.
//
// A