Results 81 to 90 of about 41,785 (303)

A Comparison of Different Methods of Zero-Inflated Data Analysis and an Application in Health Surveys [PDF]

, 2017
The performance of several models under different conditions of zero-inflation and dispersion are evaluated. Results from simulated and real data showed that the zero-altered or zero-inflated negative binomial model were preferred over others (e.g ...
Puggioni, Gavino, Redding, Colleen A, Yang, Si, Si Yang, Redding, Colleen A., Harlow, Lisa L, Colleen A Redding, Lisa L Harlow, Gavino Puggioni, Harlow, Lisa L.   +9 more
core   +2 more sources

Echinoderm‐Inspired Autonomy for Soft‐Legged Robots

Advanced Robotics Research, EarlyView.
Inspired by echinoderms, a modular soft robot achieves autonomous phototaxis without a central controller or explicit communication. Each limb independently adapts its actuation timing through local sensing and short‐term memory. Coordination emerges purely from physical interactions, demonstrating resilience to changes in morphology, environment, and ...
Harmannus A. H. Schomaker, Jelle de Vries, Johannes T. B. overvelde   +2 more
wiley   +1 more source

Bayesian Neural Networks with Regularization for Sparse Zero-Inflated Data Modeling

Information
Zero inflation is pervasive across text mining, event log, and sensor analytics, and it often degrades the predictive performance of analytical models. Classical approaches, most notably the zero-inflated Poisson (ZIP) and zero-inflated negative binomial
Sunghae Jun
doaj   +1 more source

Zero inflated high dimensional compositional data with DeepInsight

PLOS ONE
Through the Human Microbiome Project, research on human-associated microbiomes has been conducted in various fields. New sequencing techniques such as Next Generation Sequencing (NGS) and High-Throughput Sequencing (HTS) have enabled the inclusion of a wide range of features of the microbiome. These advancements have also contributed to the development
Jeseok Lee, Byungwon Kim
openaire   +2 more sources

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

Change of support for heavy-tailed zero inflated data: application to spatially aggregated ecological data for fine-scale species distribution inference [PDF]

In environmental sciences, available data are often available at a coarse resolution. This can result in a mismatch between the data resolution and the resolution at which process inferences should be made.
Alglave, Baptiste, Vermard, Youen, Woillez, Mathieu, Kristensen, Kasper, Rivot, Etienne, Mourguiart, Bastien, Etienne, Marie-Pierre   +6 more
core   +2 more sources

PERBANDINGAN REGRESI ZERO INFLATED POISSON (ZIP) DAN REGRESI ZERO INFLATED NEGATIVE BINOMIAL (ZINB) PADA DATA OVERDISPERSION (Studi Kasus: Angka Kematian Ibu di Provinsi Bali)

E-Jurnal Matematika, 2016
Poisson regression is a nonlinear regression which is often used for count data and has equidispersion assumption (variance value equal to mean value). However in practice, equidispersion assumption is often violated.
NI PUTU PREMA DEWANTI, MADE SUSILAWATI, I GUSTI AYU MADE SRINADI   +2 more
doaj   +1 more source

Modelling correlated zero-inflated count data

, 2001
Summary: This paper extends the two-component approach to modelling count data with extra zeros, considered by Mullahy (1986), Heilbron (1994) and Welsh et al. (1996), to take account of possible serial dependence between repeated observations. Generalized estimating equations (Liang \& Zeger, 1986) are constructed for each component of the model by ...
Dobbie, Melissa J., Welsh, A.H.
openaire   +1 more source

Analysis of zero-inflated count data

, 2012
published_or_final_version ; Statistics and Actuarial Science ; Master ; Master of ...
openaire   +2 more sources

Small Area Estimation Under a Mixture Model [PDF]

, 2010
Small area estimation (SAE) under a linear mixed model may not be efficient if data contain substantial proportion of zeros than would be expected under standard model assumptions (hereafter zero-inflated data).
Chandra, Hukum, Sud, U.C., Bathla, HVL
core