Stat-Co
Sequential Monte Carlo Methods for Option Pricing
Smoothing proximal gradient method for general structured sparse regression
Multiple-Relaxation-Time Lattice Boltzmann Approach to Compressible Flows with Flexible Specific-Heat Ratio and Prandtl Number
Counting and Locating the Solutions of Polynomial Systems of Maximum Likelihood Equations, II: The Behrens-Fisher Problem
Convergence of adaptive mixtures of importance sampling schemes
Dynamic Gauss Newton Metropolis Algorithm
Estimation of Gaussian mixtures in small sample studies using $l_1$ penalization
Some Numerical Results on the Rank of Generic Three-Way Arrays over R
Temperature and Friction Accelerated Sampling of Boltzmann-Gibbs Distribution
The Computational Complexity of Estimating Convergence Time
Parametric families on large binary spaces
Slice Sampling with Adaptive Multivariate Steps: The Shrinking-Rank Method
Regularization in regression: comparing Bayesian and frequentist methods in a poorly informative situation
Exact Bayesian Analysis of Mixtures
Interacting Multiple Try Algorithms with Different Proposal Distributions
Bayesian computational methods
Metropolising forward particle filtering backward sampling and Rao-Blackwellisation of Metropolised particle smoothers
Efficient Bayesian Inference for Switching State-Space Models using Discrete Particle Markov Chain Monte Carlo Methods
Approximate simulation-free Bayesian inference for multiple changepoint models with dependence within segments
Robust adaptive Metropolis algorithm with coerced acceptance rate
Discussions on "Riemann manifold Langevin and Hamiltonian Monte Carlo methods"
Effect of Wind Intermittency on the Electric Grid: Mitigating the Risk of Energy Deficits
