ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...
Abstract: Bootstrapping in fully homomorphic encryption depends on a wide range of parameters that significantly influence both performance and precision. Traditionally, these parameters have been ...
A new paper argues that BTC-settled prediction markets could beat stablecoin-powered platforms by preserving Bitcoin exposure. It explores three liquidity bootstrapping methods and their risk profiles ...
Reading around the topic, if I understand correctly there are some technical caveats to the way this library computes CIs for block bootstrap methods. I wanted to check if you agree and if so if you ...
Objective: The main objective was to build and qualify a population pharmacokinetic (PopPK) model for dexmedetomidine nasal spray in Chinese adults and explore the covariates affecting the PopPK model ...
Researchers have found that OpenAI's ChatGPT, Google's Gemini and Anthropic's Claude can give direct responses to 'high-risk' questions about suicide. In Live Science's testing, ChatGPT and Gemini ...
ABSTRACT: This research develops a novel cross-disciplinary framework that bridges financial systemic risk modeling with supply chain network analysis to advance resilience assessment and policy ...
For complex human traits, a large portion of genetic heritability remains unaccounted for beyond common genetic variants; therefore, estimating the contribution of rare variants (RVs) to the etiology ...
Abstract: As an important privacy computing method, fully homomorphic encryption (FHE) faces a serious computational bottleneck. To accelerate it, there are three kinds of accelerators: CKKS/BGV ...
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