Ali Rejali — Probability theory and additive number theoretic functions (Stanford)Richard Greer — Consistent nonparametric estimation of best linear classification rules: Solving inconsistent systems of linear equalities (Stanford)Arif Zaman — Finite forms of de Finetti's theorem of Markov chains (Stanford)Hani Doss — Bayesian nonparametric estimation of location (Stanford)Douglas Critchlow — The metric method for partially ranked data (Harvard)Peter Matthews — The waiting time to cover a group in random walk (Stanford)Richard Deveaux — The mixture of normal regression problems (Stanford)Alex McMillan — Robustness of the James-Stein estimator (Stanford)Andrew Greenhalgh — Probability measures with subgroup invariance properties (Stanford)Daniel Rockmore — Fast Fourier analysis for finite groups (Harvard)Robin Pemantle — Random walk with reinforcement (MIT)Martin Hildebrand — Rates of convergence of some random processes on finite groups (Harvard)Anil Gangolli — Convergence bounds for Markov chains and applications to sampling schemes (Stanford)Eric Belsley — Rates of convergence of Markov chains related to association schemes (Harvard)Jeffrey Rosenthal — Rates of convergence for Gibbs sampler and other Markov chains (Harvard)Carl Dou — Studies of random walks on groups and random graphs (MIT)David Maslen — Fast transforms and sampling for compact groups (Harvard)Eric Rains — Topics in probability on compact Lie groups (Harvard)Francis Su — Measuring rates of convergence of random walks on groups (Harvard)David Steinstaltz — Socks and boxes: Variations on Bernoulli's marriage problem (Harvard)Brad Mann — A Berry-Esseen theorem for Markov chains (Harvard)Farid Bassiri — Random walks on groups with multiplicity two (Harvard)Jeffrey Silver — Rates of convergence in the Metropolis algorithm (Harvard)Nathan Lulov — Random walk on involutions (Harvard)Jason Fulman — Probability in the classical groups over finite fields (Harvard)Igor Pak — Random walk on groups: Strong uniform time approach (Harvard)Kelly Wieand — Eigenvalue distributions of random matrices in the permutation group and compact Lie groups (Harvard)Elizabeth Wilmer — Rate of convergence for some non-reversible Markov chains (Harvard)Asya Takken — Monte Carlo goodness-of-fit tests of discrete data (Stanford)Thomas Yan — A rigorous analysis of the Creutz Demon algorithm for the microcanonical, one-dimensional Ising model (Cornell)Jay-Calvin Uyemura-Reyes — Random walk, semi-direct products and card shuffling (Stanford)Marc Coram — Bayesian nonparametric discrimanent analysis (Stanford)Arnab Chakrabourty — An attempt at optical character recognition for the Bengali language (Stanford)Sourav Chatterjee — Concentration inequalities with exchangeable pairs (Stanford)Joseph Blitzstein — From characterization to algorithm (Stanford)Elizabeth Meckes — An infinitesimal version of Stein's method (Stanford)Daniel Ford — The alpha model for phylogenetic trees (Stanford)Julia Salzman — Spectral analysis for discrete data using Markov chains (Stanford)Geir Helliloid — Enumerative theory of automorphisims of finite p-groups (Stanford)Hua Zhou — Topics on Markov chains with polynomial eigenfunctions (Stanford)Kshitij Khare — Extension of Dynkin's and Diaconis-Evans' constructions of Gaussian fields from Markov processes, etc. (Stanford)Olena Bormishenko — Random walk on the permutation group (Stanford)Sukhada Fadnavis — Graph coloring and birthday problems (Stanford)John Jiang — Markov chains and algorithms (Stanford)Aaron Smith — Coupling bounds for Markov chains (Stanford)James Zhao — A random walk through combinatorial probability (Stanford)Amy Pang — Hopf algebras and Markov chains (Stanford)Sumit Mukherjee — Estimation in exponential families with unknown normalizing constant (Stanford)Megan Bernstein — Random walks on the symmetric group, likelihood orders, and involutions (Stanford)Evita Nestoridi — Rates of convergence of Markov chains to stationarity, strong stationary times, coupling, Gelfand pairs and comparison theory (Stanford)Bhaswar Bhattacharya — Power of graph-based two-sample tests (Stanford)Bobbie Glen Chern — Large deviations approximation to normalizing constants in exponential models (Stanford)Daniel Jerison — The drift and minorization method for reversible Markov chains (Stanford)Amir Sepehri — Nonparametric goodness-of-fit testing and applications (Stanford)Graham White — Combinatorial methods in Markov chain mixing (Stanford)Paulo Orenstein — Topics in robust mean estimation (Stanford)Andy Tsao — New algorithms for simulating from difficult combinatorial problems (Stanford)Guanyang Wang — Topics in Markov chain simulation methods with applications in statistics (Stanford)Chenyang Zhong — Mallows permutation model: Sampling algorithms and probabilistic properties (Stanford) |