⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

March 1, 1995Journal of the American Statistical Association

Inference and Predictions from Poisson Point Processes Incorporating Expert Knowledge

S. Campodonico Nozer D. Singpurwalla

View at Publisher

Ask AI

Bookmark

Share

Ask about this paper

Answers are grounded in this paper and cite their sources.

Ask your own question…

Abstract

Sylvia Campodonico, Nozer D. Singpurwalla, Inference and Predictions from Poisson Point Processes Incorporating Expert Knowledge, Journal of the American Statistical Association, Vol. 90, No. 429 (Mar., 1995), pp. 220-226

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Campodonico et al. (1995) studied this question.

synapsesocial.com/papers/6a83d38514f94baa955bdd2c https://doi.org/10.2307/2291146

View at Publisher

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1A Tail Likelihood Ratio Method for Large-scale Causal Mediation Tests in Epigenome-Wide StudiesJournal of the American Statistical Association · 2026
2POLAR: A Pessimistic Model-based Policy Learning Algorithm for Dynamic Treatment RegimesJournal of the American Statistical Association · 2026
3A Factor Model Based Time-Varying Auto-Align Overlapping ClusteringJournal of the American Statistical Association · 2026
4A Spatial Interference Approach to Account for Mobility in Air Pollution Studies with Multivariate Continuous TreatmentsJournal of the American Statistical Association · 2026
5A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian LikelihoodsJournal of the American Statistical Association · 2026

Variable Selection for Additive Global Fréchet RegressionJournal of the American Statistical Association · 2026
Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variablesJournal of the American Statistical Association · 2026
Semi-supervised Clustering Through Representation Learning of High-dimensional Count DataJournal of the American Statistical Association · 2026
Popularity Regression-Based Latent Space Model for Large-Scale Sparse Network AnalysisJournal of the American Statistical Association · 2026
Online covariance estimation for stochastic gradient descent under Markovian samplingJournal of the American Statistical Association · 2026

JMore from Journal of the American Statistical Association