We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...
Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...
Dissatisfaction is expressed with aspects of the current exposition of linear models, including the neglect of marginality, unnecessary differences between models for finite and infinite populations, ...
James Chen, CMT is an expert trader, investment adviser, and global market strategist. Thomas J. Brock is a CFA and CPA with more than 20 years of experience in various areas including investing, ...
The prefrontal cortex (PFC) provides 'top-down', higher-order guidance of thought, attention, behaviour and emotion, with dorsolateral regions regulating cognition, and ventromedial regions regulating ...
Abstract: This paper investigates optimal tracking control of linear stochastic systems with multiplicative state-dependent and input-dependent noise via a novel model-free integral reinforcement ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Abstract: Wireless transmitters are affected by the reflection caused by an impedance mismatch between the power amplifier’s (PA) output and the antenna’s input. Isolators can lessen the output ...
The Smart Bid Evaluation System is a bid management tool based on artificial intelligence (AI), big data analysis, and automation technology, aimed at improving evaluation efficiency, reducing human ...
This project enables you to run Model Context Protocol stdio-based servers in AWS Lambda functions. Currently, most implementations of MCP servers and clients are entirely local on a single machine. A ...
This repository provides a solution for generating and verifying query–function calling pairs used to fine-tune and evaluate function calling models. It comprises three main components: All core ...
Introduction: Causal inference of athletic injuries provides the critical foundations for the development of effective prevention strategies. In recent years, the directed acyclic graph model (DAG) ...
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