activity
20062026
most citedEstimating beta-mixing coefficients via histograms

19 citations · 57 across the 9 of their papers we have counts for

collaborators

10 papers

math.ST2026

Posterior Invariance of Multiplicative Contrasts under Margin Constraints in Contingency Tables

Rafael Bassi Stern, Ruobin Gong, Joseph B. Kadane +2

Measures of association in contingency tables, such as odds ratios and their generalizations, are often studied under different sampling schemes that either fix or leave random the…

q-fin.TR2017

Instantaneous order impact and high-frequency strategy optimization in limit order books

Federico Gonzalez, Mark Schervish

We propose a limit order book (LOB) model with dynamics that account for both the impact of the most recent order and the shape of the LOB. We present an empirical analysis showing…

math.ST2014★ 9 cited

Dominating countably many forecasts

M. J. Schervish, Teddy Seidenfeld, J. B. Kadane

We investigate differences between a simple Dominance Principle applied to sums of fair prices for variables and dominance applied to sums of forecasts for variables scored by prop…

stat.ME2014

Hierarchical Semi-parametric Duration Models

Mingyu Tang, Mark Schervish

This research attempts to model the stochastic process of trades in a limit order book market as a marked point process. We propose a semi-parametric model for the conditional dist…

math.ST2013

Infinite Previsions and Finitely Additive Expectations

Mark J. Schervish, Teddy Seidenfeld, Joseph B. Kadane

We give an extension of de Finetti's concept of coherence to unbounded (but real-valued) random variables that allows for gambling in the presence of infinite previsions. We presen…

math.ST2012★ 6 cited

Nonparametric risk bounds for time-series forecasting

Daniel J. McDonald, Cosma Rohilla Shalizi, Mark Schervish

We derive generalization error bounds for traditional time-series forecasting models. Our results hold for many standard forecasting tools including autoregressive models, moving a…