Results 21 to 30 of about 18,144,236 (296)

Statistical guarantees for the EM algorithm: From population to sample-based analysis [PDF]

open access: yesarXiv.org, 2014
We develop a general framework for proving rigorous guarantees on the performance of the EM algorithm and a variant known as gradient EM. Our analysis is divided into two parts: a treatment of these algorithms at the population level (in the limit of ...
Sivaraman Balakrishnan   +2 more
semanticscholar   +1 more source

Spatially multi-scale dynamic factor modeling via sparse estimation

open access: yesInternational Journal of Mathematics for Industry, 2019
In many spatio-temporal data, their spatial variations have inherent global and local structures. The spatially continuous dynamic factor model (SCDFM) decomposes the spatio-temporal data into a small number of spatial and temporal variations, where the ...
Takamitsu Araki, Shotaro Akaho
doaj   +1 more source

EM Estimation for the Poisson-Inverse Gamma Regression Model with Varying Dispersion: An Application to Insurance Ratemaking

open access: yesRisks, 2020
This article presents the Poisson-Inverse Gamma regression model with varying dispersion for approximating heavy-tailed and overdispersed claim counts. Our main contribution is that we develop an Expectation-Maximization (EM) type algorithm for maximum ...
George Tzougas
doaj   +1 more source

SQUAREM: An R Package for Off-the-Shelf Acceleration of EM, MM and Other EM-Like Monotone Algorithms

open access: yesJournal of Statistical Software, 2020
We discuss the R package SQUAREM for accelerating iterative algorithms which exhibit slow, monotone convergence. These include the well-known expectation-maximization algorithm, majorize-minimize (MM), and other EM-like algorithms such as expectation ...
Yu Du, Ravi Varadhan
doaj   +1 more source

Latent Class Probabilistic Latent Feature Analysis of Three-Way Three-Mode Binary Data

open access: yesJournal of Statistical Software, 2018
The analysis of binary three-way data (i.e., persons who indicate which attributes apply to each of a set of objects) may be of interest in several substantive domains as sensory profiling, marketing research or personality assessment.
Michel Meulders, Philippe De Bruecker
doaj   +1 more source

Statistical Generalized Derivative Applied to the Profile Likelihood Estimation in a Mixture of Semiparametric Models

open access: yesEntropy, 2020
There is a difficulty in finding an estimate of the standard error (SE) of the profile likelihood estimator in the joint model of longitudinal and survival data.
Yuichi Hirose, Ivy Liu
doaj   +1 more source

Harmony search aided iterative channel estimation, multiuser detection and channel decoding for DS-CDMA [PDF]

open access: yes, 2010
A novel Multiuser Detection (MUD) scheme is proposed for DS-CDMA systems employing the so-called Harmony Search (HS) algorithm, which is a novel meta-heuristic optimisation method.
Rong Zhang   +3 more
core   +2 more sources

SACOC: A spectral-based ACO clustering algorithm [PDF]

open access: yes, 2014
The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B.   +7 more
core   +1 more source

Performance Enhancement of Wi-Fi Fingerprinting-Based IPS by Accurate Parameter Estimation of Censored and Dropped Data [PDF]

open access: yesRadioengineering, 2019
In complex indoor environments, the censoring, dropping, and multi-component problems may present in the observable data. This is due to the attenuation of signals, the unexpected operation of equipments, and the changing surrounding environment ...
T. K. Vu, M. K. Hoang, H. L. Le
doaj  

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