Results 51 to 60 of about 9,497,746 (229)

Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models [PDF]

, 2018
Mixture of Experts (MoE) are successful models for modeling heterogeneous data in many statistical learning problems including regression, clustering and classification.
Chamroukhi, Faicel, Huynh, Bao-Tuyen
core   +1 more source

A probabilistic procedure for estimating an optimal echo-integration threshold using the Expectation-Maximisation algorithm★

Aquatic Living Resources, 2018
To obtain reliable fish biomass estimates by acoustic methods, it is essential to filter out the signals from unwanted scatterers (e.g. zooplankton). When acoustic data are collected at more than one frequency, methods that exploit the differences in ...
López-Serrano Antonio, Villalobos Héctor, Nevárez-Martínez Manuel O.   +2 more
doaj   +1 more source

A new ADMM algorithm for the Euclidean median and its application to robust patch regression

, 2015
The Euclidean Median (EM) of a set of points $\Omega$ in an Euclidean space is the point x minimizing the (weighted) sum of the Euclidean distances of x to the points in $\Omega$.
Chaudhury, Kunal N., Ramakrishnan, K. R.
core   +1 more source

A Study in function optimization with the breeder genetic algorithm [PDF]

, 1999
Optimization is concerned with the finding of global optima (hence the name) of problems that can be cast in the form of a function of several variables and constraints thereof. Among the searching methods, {em Evolutionary Algorithms} have been shown
Belanche Muñoz, Luis Antonio
core  

New constructions for covering designs

, 1995
A $(v,k,t)$ {\em covering design}, or {\em covering}, is a family of $k$-subsets, called blocks, chosen from a $v$-set, such that each $t$-subset is contained in at least one of the blocks.
Gordon, Daniel, Kuperberg, Greg, Patashnik, Oren   +2 more
core   +2 more sources

Adaptive estimation: Fuzzy data-driven gamma distribution via Bayesian and maximum likelihood approaches

AIMS Mathematics
Integrating fuzzy concepts into statistical estimation offers considerable advantages by enhancing both the accuracy and reliability of parameter estimations, irrespective of the sample size and technique used.
Abbarapu Ashok, Nadiminti Nagamani
doaj   +1 more source

Statistical inference for zero-and-one-inflated poisson models

Statistical Theory and Related Fields, 2017
In this paper, a zero-and-one-inflated Poisson (ZOIP) model is studied. The maximum likelihood estimation and the Bayesian estimation of the model parameters are obtained based on data augmentation method.
Yincai Tang, Wenchen Liu, Ancha Xu
doaj   +1 more source

frailtyEM: An R Package for Estimating Semiparametric Shared Frailty Models

Journal of Statistical Software, 2019
When analyzing correlated time to event data, shared frailty (random effect) models are particularly attractive. However, the estimation of such models has proved challenging.
Theodor Adrian Balan, Hein Putter
doaj   +1 more source

Semiparametric estimation for accelerated failure time mixture cure model allowing non-curable competing risk

Statistical Theory and Related Fields, 2020
The mixture cure model is the most popular model used to analyse the major event with a potential cure fraction. But in the real world there may exist a potential risk from other non-curable competing events.
Yijun Wang, Jiajia Zhang, Yincai Tang
doaj   +1 more source

A replication of “A quasi-maximum likelihood approach for large, approximate dynamic factor models” (Review of Economics and Statistics, 2012)

Economics: Journal Articles, 2020
The authors replicate and extend the Monte Carlo experiment presented in Doz, Giannone and Reichlin (A Quasi-Maximum Likelihood Approach For Large, Approximate Dynamic Factor Models, Review of Economics and Statistics, 2012) on alternative (time-domain ...
Lucchetti Riccardo, Venetis Ioannis A.
doaj   +1 more source