P-values for classification

PAC-Bayesian aggregation and multi-armed bandits

Pac-bayesian bounds for sparse regression estimation with exponential weights

PAC-Bayesian inductive and transductive learning

Panel Cointegration with Global Stochastic Trends

Parallelism, Uniqueness, and Large-Sample Asymptotics for the Dantzig Selector

Parameter estimates for fractional autoregressive spatial processes

Parameter Estimation for Hidden Markov Models with Intractable Likelihoods

Parameter Estimation for Multiscale Diffusions

Parameter estimation in a spatial unit root autoregressive model

Parameter estimation in linear regression driven by a Gaussian sheet

Parameter Estimation in Manneville-Pomeau Processes

Parameter estimation in pair hidden Markov models

Parameter estimation of high-dimensional linear differential equations

Parameter estimation of ODE's via nonparametric estimators

Parameter identifiability and redundancy: theoretical considerations

Parameter identifiability in a class of random graph mixture models

Parameter tuning in pointwise adaptation using a propagation approach

Parameterization of Copulas and Covariance Decay of Stochastic Processes with Applications

Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models