Search Results - subject:"em algorithm"

An EM algorithm for a mixture model of count data

Fong, Daniel Y. T.; Yip, Paul - In: Statistics & Probability Letters 17 (1993) 1, pp. 53-60

An EM-algorithm is proposed to study a mixture model for the analysis of count data. Iterative procedures for …

Persistent link: https://www.econbiz.de/10005223685

Estimating latent distributions in recurrent choice data

Böckenholt, Ulf - In: Psychometrika 58 (1993) 3, pp. 489-509

Persistent link: https://www.econbiz.de/10005757929

A latent class approach to fitting the weighted Euclidean model, clascal

Winsberg, Suzanne; Soete, Geert - In: Psychometrika 58 (1993) 2, pp. 315-330

Persistent link: https://www.econbiz.de/10005757970

Maximum likelihood estimation in the multi-path change-point problem

Joseph, Lawrence; Wolfson, David - In: Annals of the Institute of Statistical Mathematics 45 (1993) 3, pp. 511-530

Persistent link: https://www.econbiz.de/10005760358

Estimation of a normal mixture model through Gibbs sampling and Prior Feedback

Robert, Christian; Soubiran, Caroline - In: TEST: An Official Journal of the Spanish Society of … 2 (1993) 1, pp. 125-146

Persistent link: https://www.econbiz.de/10005613254

Full-information item bi-factor analysis

Gibbons, Robert; Hedeker, Donald - In: Psychometrika 57 (1992) 3, pp. 423-436

Persistent link: https://www.econbiz.de/10005381892

Testing for DIF in a model with single peaked item characteristic curves: The parella model

Hoijtink, Herbert; Molenaar, Ivo - In: Psychometrika 57 (1992) 3, pp. 383-397

Persistent link: https://www.econbiz.de/10005156133

The EM algorithm for latent class analysis with equality constraints

Mooijaart, Ab; Heijden, Peter - In: Psychometrika 57 (1992) 2, pp. 261-269

Persistent link: https://www.econbiz.de/10005603234

Exact Score for Time Series Models in State Space Form (Now published in Biometrika (1992), 79, 4, pp.283-6.)

Koopman, Siem Jan; Shephard, N.G. - Suntory and Toyota International Centres for Economics … - 1992

The score vector for a time series model which fits into the Gaussian state space form can be approximated by numerically differentiating the log-likelihood. If the parameter vector is of length p, this involves the running of p + 1 Kalman filters. This paper shows the score vector can be...

Persistent link: https://www.econbiz.de/10010720259

A latent class probit model for analyzing pick any/N data

Soete, Geert; DeSarbo, Wayne - In: Journal of Classification 8 (1991) 1, pp. 45-63

Persistent link: https://www.econbiz.de/10005376104