Results 141 to 150 of about 942,483 (302)
Breakdown points for maximum likelihood estimators of location-scale mixtures [PDF]
, 2004 ML-estimation based on mixtures of Normal distributions is a widely used tool for cluster analysis. However, a single outlier can make the parameter estimation of at least one of the mixture components break down. Among others, the estimation of mixtures
Hennig, C
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Advanced Functional Materials, EarlyView.Molecular rotors are fluorescent molecules that are sensitive to viscosity and temperature variations in the environment. They exhibit a direct correlation between fluorescence and viscosity within Newtonian fluids. However, this correlation becomes less straightforward in complex systems.
Flavia Di Scala +6 more
wiley +1 more source
A Gaussian mixture model approach to grouping patients according to their hospital length of stay
, 2008 In this paper we propose a new approach capable of determining clinically meaningful patient groups from a given dataset of patient spells. We hypothesise that the skewed distribution of length of stay (LOS) observations, often modelled in the past using
Millard, P.H. +3 more
core +1 more source
Estimating propensity scores with missing covariate data using general location mixture models
, 2009 In many observational studies, researchers estimate causal effects using propensity scores, e.g., by matching or sub-classifying on the scores. Estimation of propensity scores is complicated when some values of the covariates aremissing.
Reiter, Jerome P., Mitra, Robin
core +2 more sources
PGMF-VINS: Perpendicular-Based 3D Gaussian–Uniform Mixture Filter
SensorsVisual–Inertial SLAM (VI-SLAM) has a wide range of applications spanning robotics, autonomous driving, AR, and VR due to its low-cost and high-precision characteristics. VI-SLAM is divided into localization and mapping tasks.
Wenqing Deng +4 more
doaj +1 more source
Advanced Functional Materials, EarlyView.A new class of sulfur‐free, oxygen‐bridged dibenzofuran‐based polymers is developed for ultrahigh‐refractive‐index applications. The rigid π‐extended architecture and enhanced molecular polarizability enable exceptional optical performance, combining refractive indices up to 1.848 with high Abbe numbers and full visible transparency. This work offers a
Hend A. Hegazy +5 more
wiley +1 more source
Option Pricing with Asymmetric Heteroskedastic Normal Mixture Models [PDF]
This paper uses asymmetric heteroskedastic normal mixture models to fit return data and to price options. The models can be estimated straightforwardly by maximum likelihood, have high statistical fit when used on S&P 500 index return data, and allow for
Lars Peter Stentoft, Jeroen Rombouts
core +2 more sources
Federated Gaussian Mixture Models
CoRRThis paper introduces FedGenGMM, a novel one-shot federated learning approach for Gaussian Mixture Models (GMM) tailored for unsupervised learning scenarios. In federated learning (FL), where multiple decentralized clients collaboratively train models without sharing raw data, significant challenges include statistical heterogeneity, high communication
Sophia Zhang Pettersson +2 more
openaire +2 more sources
Tailored Diketopyrrolopyrrole Derivatives for Efficient Deep‐Red Organic Lasers
Advanced Functional Materials, EarlyView.Tailored diketopyrrolopyrrole derivatives exhibit high stable amplified spontaneous emission with single or dual bands. Incorporated into distributed‐feedback lasers based on one‐ and two‐dimensional dichromated‐gelatin diffractive gratings, these materials provide a robust, flexible platform for integrated organic deep‐red light sources. ABSTRACT Deep‐
Pablo Pasqués‐Gramage +10 more
wiley +1 more source
The Normal Mixture Decomposition [PDF]
This talk will present the program for univariate normal mixture maximum likelihood estimation developed by the author. It will demonstrate the use of -ml lf- estimation method, as well as a number of programming tricks, including global macros ...
Stanislav Kolenikov
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