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###### Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction by Gerhard Winkler, Paperback |...
Maximum Likelihood Estimators.- 13.1 Introduction.- 13.2 The Likelihood Function.- 13.3 Objective Functions.- 13.4 Asymptotic ... 14.4 The Maximum Likelihood Method.- 14.5 Computation of ML Estimators.- 14.6 Partially Observed Data.- VI. Supplement.- 15. A ... Concave Functions.- D. A Global Convergence Theorem for Descent Algorithms.- References. ... https://www.barnesandnoble.com/w/image-analysis-random-fields-and-dynamic-monte-carlo-methods-gerhard-winkler/1112060636?ean=9783642975240
###### likelihoodfunction
... I have been asked to write down the likelihood function for θ based upon the four given independant tests ... Write down the likelihood function for θ based upon these four given independant tests. What value of θ maximises this function ... Write down the likelihood function for θ based upon these four given independant tests. What value of θ maximises this function ... I have been asked to write down the likelihood function for θ based upon the four given independant tests and then find the ... http://mathhelpforum.com/advanced-math-topics/2101-likelihood-function-print.html
###### Statistics - log-likelihoodfunction (cross-entropy) [Gerardnico]
The "log-likelihood function" is a probabilistic function. ,MATH, \sum_{i=1}^{N}(1-X_i^i)log(1-Pr[1,B_1^1,B_2^2,\dots,B_k^k])+X ... Statistics - log-likelihood function (cross-entropy). * You are here: *(Statistics,Probability,Machine Learning,Data Mining, ... The "log-likelihood function" is also referred to as the cross-entropy ... data_mining/log_likelihood.txt. · Last modified: 2015/04/13 10:33 by gerardnico. ... https://gerardnico.com/data_mining/log_likelihood
###### EUDML | The Exact LikelihoodFunction for a Space Time Model.
... exact likelihood function},. pages = {239-243},. title = {The Exact Likelihood Function for a Space Time Model.},. url = {http ... space time autoregressive moving average models, exact likelihood function. Suggest a Subject Subjects. You must be logged in ... TI - The Exact Likelihood Function for a Space Time Model.. JO - Metrika. PY - 1983. VL - 30. SP - 239. EP - 243. KW - space ... Abraham, B.. "The Exact Likelihood Function for a Space Time Model.." Metrika 30 (1983): 239-243. ,http://eudml.org/doc/175916 ... https://eudml.org/doc/175916
###### LoglikNormalDeltaCens: Log likelihoodfunction to compute mean difference between... in SurvRegCensCov: Weibull Regression for...
Reparametrization of the log likelihood function for a normally distributed censored sample such that the mean difference is a ... parameter of the function, thus allowing to be made inference on. The mean difference is computed as sample 1 - sample 2. ... LoglikWeibullSurvRegCens: Log-likelihood function of a Weibull Survival Regression.... *ParamSampleCens: Maximum Likelihood ... LoglikNormalDeltaCens: Log likelihood function to compute mean difference between... In SurvRegCensCov: Weibull Regression for ... https://rdrr.io/cran/SurvRegCensCov/man/LoglikNormalDeltaCens.html
###### Choice of similarity measure, likelihoodfunction and parameters for histogram based particle filter tracking in CCTV grey...
It is argued that as long as the likelihood function satisfies certain criteria its analytical form is not critical in the ... The choice of particle filter dissimilarity distance measures and likelihood functions is considered in the context of object ... ORCID: 0000-0001-7195-2509 (2011) Choice of similarity measure, likelihood function and parameters for histogram based particle ... Choice of similarity measure, likelihood function and parameters for histogram based particle filter tracking in CCTV grey ... http://clok.uclan.ac.uk/3818/
###### Comparisons of Estimators and Tests Based on Modified Likelihood and Message Length Functions - AgEcon Search
A number of modified likelihood and message length functions have been developed for better handling of nuisance parameters but ... In this paper, we empirically compare different modified likelihood and message length functions in the context of estimation ... The true sizes of the Lagrange multiplier tests based on message length functions are rather poor because the score functions ... The results show that estimators based on the conditional profile likelihood and tests based on the marginal likelihood are ... http://ageconsearch.umn.edu/record/267490
###### Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions - Semantic...
We further develop an optimization method based on quadratic approximation of the likelihood function for the estimation of ... Model sparsities are achieved by using various penalized likelihood estimations and basis functions. Specifically, we introduce ... A GFAM consists of a set of basis functions convolving the input signals, and a link function generating the firing probability ... The sparse models outperform the full models estimated with the standard maximum likelihood method in out-of-sample predictions ... https://www.semanticscholar.org/paper/Identification-of-sparse-neural-functional-using-Song-Wang/89f1ab720460423cc82bc695e3293602293ff6da
###### Spatial and temporal dynamics of superspreading events in the 2014-2015 West Africa Ebola epidemic | PNAS
Likelihood Function.. Let E. =. (. E. 1. ,. E. 2. ,. …. ,. E. n. ). be the vector of the exposure/infection times of the n. =. ... as a function of distance d. i. j. between them. Here, we have K. (. d. i. j. ;. η. ). =. e. x. p. (. −. η. d. i. j. ). . After ... Details of the likelihood function and the MCMC algorithm are given in SI Text. Model fit was assessed by comparing the ... Denoting the likelihood by L. (. 𝜽. ;. x. ). , the posterior distribution of 𝜽. is P. (. 𝜽. ,. x. ). ∝. L. (. 𝜽. ;. x. ). π. ( ... https://www.pnas.org/content/114/9/2337.full
###### Satisfaction as a Function of Perceived Change in Likelihood of Goal Attainment: A Cross-Cultural Study: Media & Communications...
Satisfaction as a Function of Perceived Change in Likelihood of Goal Attainment: A Cross-Cultural Study: 10.4018/978-1-60960- ... "Satisfaction as a Function of Perceived Change in Likelihood of Goal Attainment: A Cross-Cultural Study." In E-Collaboration ... "Satisfaction as a Function of Perceived Change in Likelihood of Goal Attainment: A Cross-Cultural Study." E-Collaboration ... Satisfaction as a Function of Perceived Change in Likelihood of Goal Attainment: A Cross-Cultural Study. Bruce A. Reinig (San ... https://www.igi-global.com/chapter/satisfaction-function-perceived-change-likelihood/52345
###### Adaptive, locally linear models of complex dynamics | PNAS
3]where the pseudo-log-likelihood function of model parameters θ. a. =. c. →. a. ,. A. a. ,. Σ. a. from X. b. for a Gaussian ... is the maximum-likelihood estimate in X. a. ; l. (. θ. a. ,. X. a. ). −. l. (. θ. c. ,. X. a. ). ≥. 0. ) and also symmetric; ... by the log-likelihood ratio Λ. data. (Eq. 3). To assess significance, we compute the distribution of log-likelihood ratios ... In addition, computing the log-likelihood function in Eq. 4 requires inverting the covariance matrix of the error Σ. Thus, we ... https://www.pnas.org/content/116/5/1501
###### A comparison of discriminant logistic regression and item response theory likelihood-ratio tests for differential item...
A comparison of discriminant logistic regression and item response theory likelihood-ratio tests for differential item ... functioning (IRTLRDIF) in polytomous short tests/Funcionamiento diferencial del item en tests breves: comparacion entre ... Wang, W. C., & Yeh, Y. L. (2003). Effects of anchor item methods on differential item functioning detection with the likelihood ... Paek, I., & Wilson, M. (2011). Formulating the Rasch Differential Item functioning model under the marginal maximum Likelihood ... https://www.thefreelibrary.com/A+comparison+of+discriminant+logistic+regression+and+item+response+...-a0455611492
###### Spreading of mood in social networks | Proceedings of the Royal Society of London B: Biological Sciences
Appendix A. Likelihood functions. The following likelihood function was constructed for the development of the 'depressive ... Appendix A outlines the construction of the likelihood functions used in the fitting process. Competing models were assessed ... An equivalent likelihood function was constructed for the 'recovery from depressive symptoms' scenario:. with yk corresponding ... by minimizing the negative log-likelihood -log(L) with respect to p and q using the MATLAB fmincon(). function. Confidence ... http://rspb.royalsocietypublishing.org/content/282/1813/20151180/