StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

When people make decisions they often have a large volume of information at their disposal. Faced with this challenge, in practice they focus their attention on a more limited amount of salient ...

Approximate Message Passing (AMP) serves as both a family of efficient first-order algorithms and a powerful theoretical machinery for high-dimensional data analysis, which has found applications in a ...

Health technology assessment (HTA) aims to be a systematic, transparent, unbiased synthesis of clinical efficacy, safety, and value of medical products (MPs) to help policymakers, payers, clinicians, ...

3.15 Sum of a Random Number of Random Variables 3.16 Exercises 4 Generating Random Variables 4.1 Inverse Transform Method 4.1.1 The Continuous Case 4.1.2 The Discrete Case 4.2 Accept/Reject Method 4.2 ...

Abstract: In this paper, we propose a safe deep reinforcement learning (SDRL) based method to solve the problem of optimal operation of distribution networks (OODN). We formulate OODN as a constrained ...

Please note: If you switch to a different device, you may be asked to login again with only your ACS ID. Please note: If you switch to a different device, you may be ...

This paper discusses techniques for solving discrete optimization problems using quantum annealing. Practical issues likely to affect the computation include precision limitations, finite temperature, ...

Faculty of Science, Islamic University, Madinah, Saudi Arabia. Mathematics Department, Faculty of Science, Al-Azhar University, Nasr-City, Cairo, Egypt. Mathematics Department, Sohag University, Sohag ...