3 citations · 5 across the 5 of their papers we have counts for
5 papers
Combining matching and linear regression: Introducing a mathematical framework and software for simulations, diagnostics and calibration
Alireza S. Mahani, Mansour T. A. Sharabiani
Combining matching and regression for causal inference provides double-robustness in removing treatment effect estimation bias due to confounding variables. In most real-world appl…
Stochastic Newton Sampler: R Package sns
Alireza S. Mahani, Asad Hasan, Marshall Jiang +1
The R package sns implements Stochastic Newton Sampler (SNS), a Metropolis-Hastings Monte Carlo Markov Chain algorithm where the proposal density function is a multivariate Gaussia…
Expander Framework for Generating High-Dimensional GLM Gradient and Hessian from Low-Dimensional Base Distributions: R Package RegressionFactory
Alireza S. Mahani, Mansour T. A. Sharabiani
The R package RegressionFactory provides expander functions for constructing the high-dimensional gradient vector and Hessian matrix of the log-likelihood function for generalized…
Multivariate-from-Univariate MCMC Sampler: R Package MfUSampler
Alireza S. Mahani, Mansour T. A. Sharabiani
The R package MfUSampler provides Monte Carlo Markov Chain machinery for generating samples from multivariate probability distributions using univariate sampling algorithms such as…
Efficient SIMD RNG for Varying-Parameter Streams: C++ Class BatchRNG
Alireza S. Mahani, Mansour T. A. Sharabiani
Single-Instruction, Multiple-Data (SIMD) random number generators (RNGs) take advantage of vector units to offer significant performance gain over non-vectorized libraries, but the…