Interest in nonparametric estimation and inference goes back half a century but has rapidly increased recently (especially with recent advances in computing power) with many new directions of research that cover a vast range of applications in different disciplines. Ongoing research on information-theoretic estimation and inference methods is similarly inter-disciplinary, involving information theory, engineering, mathematical statistics, econometrics and the natural sciences.

This one day conference will explore recent advances in the area of nonparametric estimation and inference and in info-metrics, which may help current and future research combining nonparametric procedures with information-theoretic methods.

The conference organizers encourage submissions of papers on any topic within this overall theme with a particular emphasis on the list below.

Conference Topics Nonparametric procedures and info-metrics methods Nonparametric and Information-Theoretic Estimation and Inference Methods Density and Regression Estimation (Nonparametric and Information Methods) Kernel estimation and info-metrics Mixed data estimation Quantile estimation Nonparametric and Information time series analysis Nonparametric and Information based panel data models

Program Committee Amos Golan (Info-Metrics, American U) - Co-Chair Aman Ullah (UC Riverside and Info-Metrics) - Co-Chair Robin Lumsdaine (Info-Metrics, American U) - Co-Chair Tae Hwy Lee (UC Riverside) - Co-Chair Jeff Racine (McMaster University) Nick Kiefer (Cornell)

Confirmed Speakers John Fisher (MIT) Emily B. Fox (U. Penn) Nicholas (Nick) Kiefer Essie Maasoumi (Emory) Rosa L. Matzkin (UCLA) Whitney Newey (MIT) Jeffrey Racine (McMaster) Eric Renault (Brown) Peter Robinson (London School of Economics)