37 citations · 50 across the 20 of their papers we have counts for
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A Benchmark for Dose Finding Studies with Continuous Outcomes
Pavel Mozgunov, Thomas Jaki, Xavier Paoletti
An important tool to evaluate the performance of any design is an optimal benchmark proposed by O'Quigley and others (2002, Biostatistics 3(1), 51-56) that provides an upper bound…
An information-theoretic approach for selecting arms in clinical trials
Pavel Mozgunov, Thomas Jaki
The question of selecting the "best" amongst different choices is a common problem in statistics. In drug development, our motivating setting, the question becomes, for example: wh…
Loss Functions in Restricted Parameter Spaces and Their Bayesian Applications
Pavel Mozgunov, Thomas Jaki, Mauro Gasparini
Squared error loss remains the most commonly used loss function for constructing a Bayes estimator of the parameter of interest. However, it can lead to sub-optimal solutions when…
Limits of Kalman Filter application in heavy tailed problems
Valentin Konakov, Pavel Mozgunov
In this paper we consider the behavior of Kalman Filter state estimates in the case of distribution with heavy tails .The simulated linear state space models with Gaussian measurem…