• Suche: "ECM algorithm"

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1

A Novel Mixture Model for Characterizing Human Aiming Performance Data
Li, Yanxi ; Young, Derek, S ; Rioul, Olivier ; et al.
Statistical Modelling. 25(3):236-254

block relaxation ECM algorithm Exponentially-modified G... Fitts' law Human-computer interacti... Model-based clustering …
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2

Enhancing parameter estimation in finite mixture of generalized normal distributions
Duttilo, Pierdomenico ; Gattone, Stefano Antonio
Computational Statistics. 40(8):4607-4634

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3

Constrained signal classification, application to the study of the neuronal protein tau
Classification contrainte de signaux, application à l'étude de la protéine neuronale tau
Brault, Vincent ; Lebrarbier, Emilie ; Rosier, Amélie ; et al.

Bruxelles, Belgium Functional data ECM algorithm Constrained parameters Model-based clustering Functional data Model-ba... …
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4

Likelihood-based inference for interval censored regression models under heavy-tailed distributions
Gil, Yessenia A. ; Garay, Aldo M. ; Lachos, Victor H.
Statistical Methods & Applications: Journal of the Italian Statistical Society. 34(3):519-544

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5

A robust factor analysis model based on the unrestricted contaminated skew-normal with missing information
Farzane Hashemi
Journal of Mahani Mathematical Research, Vol 15, Iss 1, Pp 321-355 (2025)

factor analysis unrestricted contaminate... dimension reduction ecm algorithm outliers detection Mathematics …
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6

High-Throughput Calibration-Free Laser-Induced Breakdown Spectroscopy
Matsumura, Tarojiro ; Takahashi, Tomoko ; Nagata, Kenji ; et al.
ACS Earth and Space Chemistry. 8(6):1259-1271

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7

Classification contrainte de signaux, application à l'étude de la protéine neuronale Tau
Brault, Vincent ; Lebarbier, Émilie ; Rosier, Amélie ; et al.
54ème journées de statistique de la SFdS, Jul 2023, Bruxelles, Belgium

Bruxelles, Belgium Functional data Model-based clustering Constrained parameters ECM algorithm Données fonctionnelles …
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8

Flexible clustering via Gaussian parsimonious mixture models with censored and missing values
Wang, Wan-Lun ; Lachos, Victor Hugo ; Chen, Yu-Chien ; et al.
TEST: An Official Journal of the Spanish Society of Statistics and Operations Research. :1-28

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9

An EM algorithm for fitting matrix-variate normal distributions on interval-censored and missing data
Lachos, Victor H. ; Tomarchio, Salvatore D. ; Punzo, Antonio ; et al.
Statistics and Computing. 35(2)

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10

An extension of Fellegi-Sunter record linkage model for mixed-type data with application to SNDS
Vo, Thanh Huan ; Chauvet, Guillaume ; Happe, André ; et al.
JDS 2021 : 52èmes Journées de Statistique de la Société Française de Statistique (SFdS), Société Française de Statistique (SFdS), Jun 2021, Nice, France

Nice, France hurdle gamma distributio... mixture model ECM algorithm Probabilistic record lin... [STAT.AP]Statistics [sta... …
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11

Extending the Fellegi-Sunter record linkage model for mixed-type data with application to the French national health data system
Vo, Thanh Huan ; Chauvet, Guillaume ; Happe, André ; et al.
Computational Statistics and Data Analysis, 2023, 179 (article n° 107656), ⟨10.1016/j.csda.2022.107656⟩

Expectation Conditional... mixture model low prevalence variables hurdle gamma distributio... [STAT.ME]Statistics [sta... Methodology [stat.ME] …
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12

Parsimonious Seemingly Unrelated Contaminated Normal Cluster-Weighted Models
Gabriele Perrone ; Gabriele Soffritti
Journal of Classification. 41:533-567

Contaminated normal dist... ECM algorithm Mixture model Model-based cluster anal... Parsimonious model Seemingly unrelated regr...
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13

Local Influence in Regression Models with Measurement Errors and Censored Data Considering the Student–t Distribution
Montoya, Alejandro Monzón
Sankhya B: The Indian Journal of Statistics - Official Journal of Indian Statistical Institute. 86(1):91-108

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14

An expectation conditional maximization algorithm for the skew-normal based stochastic frontier model
Zhu, Xiaonan ; Wei, Zheng ; Wang, Tonghui ; et al.
Computational Statistics. 39(3):1539-1558

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15

Extending the Fellegi-Sunter record linkage model for mixed-type data with application to the French national health data system
Vo, Thanh Huan ; Chauvet, Guillaume ; Happe, André ; et al.

hurdle gamma distributio... low prevalence variables mixture model Expectation Conditional... [STAT.ME]Statistics [sta... Methodology [stat.ME] …
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16

Unsupervised Learning of Generalized Gamma Mixture Model with Application in Statistical Modeling of High-Resolution SAR Images
Li, Heng-Chao ; Krylov, Vladimir A. ; Fan, Ping-Zhi ; et al.
IEEE Transactions on Geoscience and Remote Sensing. 54(4):2153-2170

probability density func... minimum message length (... Synthetic aperture radar... finite mixture model generalized Gamma distri... expectation-conditional... …
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17

Seemingly unrelated clusterwise linear regression for contaminated data
Perrone G. ; Soffritti G.
Statistical Papers. 64:883-921

Contaminated Gaussian di... ECM algorithm Mild outlier Mixture of regression mo... Model-based cluster anal... Seemingly unrelated regr... …
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18

Introducing a Family of Distributions by Using the Class of Normal Mean–Variance Mixture
Darijani, Maryam ; Zakerzadeh, Hojatollah ; Jafari, Ali Akbar
Journal of Statistical Theory and Practice. 18(1)

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19

The likelihood and Bayesian analyses for asymmetric Laplace nonlinear regression model
Gilani, Narjes ; Pourmousa, Reza
Computational and Applied Mathematics. 43(1)

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20

Constrained signal classification, application to the study of the neuronal protein tau ; Classification contrainte de signaux, application à l'étude de la protéine neuronale tau
Brault, Vincent ; Lebrarbier, Emilie ; Rosier, Amélie ; et al.
54es Journées de Statistique de Société Française de Statistique
https://hal.science/hal-04182472
54es Journées de Statistique de Société Française de Statistique, Société Française de Statistique
Université libre de Bruxelles, Jul 2023, Bruxelles, Belgique
https://jds2023.sciencesconf.org/

Bruxelles Belgium Functional data ECM algorithm Constrained parameters Model-based clustering …
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