Likelihood Based Inference and Prediction in Spatio-Temporal Panel Count Models for Urban Crimes

SSRN Electronic Journal
doi 10.2139/ssrn.2616602
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Elsevier BV

Related search

Spatio-Temporal Prediction and Inference by V1 Neurons

European Journal of Neuroscience
Neuroscience
2007English

Principles for Statistical Inference on Big Spatio-Temporal Data From Climate Models

Statistics and Probability Letters
UncertaintyStatisticsProbability
2018English

The Simulation and Prediction of Spatio-Temporal Urban Growth Trends Using Cellular Automata Models: A Review

International Journal of Applied Earth Observation and Geoinformation
2016English

GMM for Panel Count Data Models

SSRN Electronic Journal
2006English

Likelihood Inference in Some Finite Mixture Models

2013English

Spatio-Temporal Variograms and Covariance Models

Advances in Applied Probability
Applied MathematicsStatisticsProbability
2005English

Particle Filter-Based Approximate Maximum Likelihood Inference Asymptotics in State-Space Models

ESAIM: Proceedings
2007English

Self-Exciting Spatio-Temporal Statistical Models for Count Data With Applications to Modeling the Spread of Violence

English

Bayesian Models for Spatio-Temporal Assessment of Disease

Bulletin of the Australian Mathematical Society
Mathematics
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy