Results 51 to 60 of about 9,896 (146)

Multi-Task CNN-LSTM Modeling of Zero-Inflated Count and Time-to-Event Outcomes for Causal Inference with Functional Representation of Features

Axioms
We propose a novel deep learning framework for counterfactual inference on the COMPAS dataset, utilizing a multi-task CNN-LSTM architecture. The model jointly predicts multiple outcome types: (i) count outcomes with zero inflation, modeled using zero ...
Jong-Min Kim
doaj   +1 more source

Finding the Right Distribution for Highly Skewed Zero-inflated Clinical Data

Epidemiology, Biostatistics and Public Health, 2022
Discrete, highly skewed distributions with excess numbers of zeros often result in biased estimates and misleading inferences if the zeros are not properly addressed.
Resmi Gupta , Bradley S. Marino , James F. Cnota, Richard F. Ittenbach   +3 more
doaj  

HANDLING OF OVERDISPERSION CASES IN MORBIDITY DATA IN SELUMA REGENCY

Media Statistika
The problem of overdispersion as a violation of the assumption of equidispersion in Poisson regression is generally caused by  sources of unobserved heterogeneity, missing observations on predictor variables, outliers in the data, errors in the ...
Mey Yanti Sarumpaet, Sigit Nugroho, Ramya Rachmawati   +2 more
doaj   +1 more source

Zero Inflated Poisson and Zero Inflated Negative Binomial Models with Application to Number of Falls in the Elderly

Biostatistics and Biometrics Open Access Journal, 2017
The presence of excess zeros and the problem of over-dispersion often occur with count data. Few methods have been developed to deal with extra zeros that occur in response count variables. Such methods include zero inflated Poisson (ZIP) and zero inflated negative binomial (ZINB) regression models.
openaire   +1 more source

Confidence interval and test for the mean of a zero-inflated two-parameter negative binomial distribution

Research in Statistics
Zero-inflated over-dispersed count data arise in many applications, motivating the zero-inflated negative binomial family. We develop likelihood-based inference for the negative binomial two-parameter (NB2) component mean [Formula: see text] under a zero-
Md Mahadi Hasan, Md Monzur Murshed, Md Nahid Hasan   +2 more
doaj   +1 more source

The influence of passenger air traffic on the spread of COVID-19 in the world

Transportation Research Interdisciplinary Perspectives, 2020
Countries in the world are suffering from COVID-19 and would like to control it. Thus, some authorities voted for new policies and even stopped passenger air traffic.
Yves Morel Sokadjo, Mintodê Nicodème Atchadé   +1 more
doaj   +1 more source

Zero-Inflated Data Analysis Using Graph Neural Networks with Convolution

Computers
Zero-inflated count data are characterized by an excessive frequency of zeros that cannot be adequately analyzed by a single distribution, such as Poisson or negative binomial.
Sunghae Jun
doaj   +1 more source

The Ridge-Hurdle Negative Binomial Regression Model: A Novel Solution for Zero-Inflated Counts in the Presence of Multicollinearity

Stats
Datasets with many zero outcomes are common in real-world studies and often exhibit overdispersion and strong correlations among predictors, creating challenges for standard count models.
HM Nayem, B. M. Golam Kibria
doaj   +1 more source

A framework of zero-inflated Bayesian negative binomial regression models for spatiotemporal data

Journal of Statistical Planning and Inference
Spatiotemporal data analysis with massive zeros is widely used in many areas such as epidemiology and public health. We use a Bayesian framework to fit zero-inflated negative binomial models and employ a set of latent variables from Pólya-Gamma distributions to derive an efficient Gibbs sampler.
Qing He, Hsin-Hsiung Huang
openaire   +2 more sources

Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset.

PLoS ONE
Accurate forecasting of claim frequency in automobile insurance is essential for insurers to assess risks effectively and establish appropriate pricing policies.
Gadir Alomair
doaj   +1 more source