Results 71 to 80 of about 44,115,319 (296)
Advanced Materials Technologies, EarlyView.A constraint‐based analytical framework maps the coupled effects of material properties, structural parameters, and operating conditions in tubular dielectric elastomer pumps for extracorporeal circulatory applications. The approach defines performance boundaries through mechanical, electrical, and hydraulic constraints and identifies feasible design ...
Yan Zhang +3 more
wiley +1 more source
Risks, 2019 In this paper, the generalized Pareto distribution (GPD) copula approach is utilized to solve the conditional value-at-risk (CVaR) portfolio problem.
Nader Trabelsi, Aviral Kumar Tiwari
doaj +1 more source
PAC-Bayesian Bound for the Conditional Value at Risk
CoRR, 2020 Conditional Value at Risk (CVaR) is a family of "coherent risk measures" which generalize the traditional mathematical expectation. Widely used in mathematical finance, it is garnering increasing interest in machine learning, e.g., as an alternate approach to regularization, and as a means for ensuring fairness.
Mhammedi, Zakaria +2 more
openaire +4 more sources
RISK BALANCING STRATEGIES IN THE FLORIDA DAIRY INDUSTRY: AN APPLICATION OF CONDITIONAL VALUE AT RISK [PDF]
Legislation has prompted changes in milk price volatility. Milk price volatility impacts the producer's exposure to business risk which is compound by the firms financial risk. Financial risk is a function of the firms capital structure. In the short run
Zylstra, Michael J. +2 more
core
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Crisis, Value at Risk and Conditional Extreme Value Theory via the NIG + Jump Model
, 2012 This study develops a new conditional extreme value theory-based model (EVT) combined with the NIG + Jump model to forecast extreme risks. This paper utilizes the NIG + Jump model to asymmetrically feedback the past realization of jump innovation to the ...
Ze-To, S.
core +1 more source
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
CVaR in Measuring Sector's Risk on the Croatian Stock Exchange
Business Systems Research, 2018 Background: In this paper the well-known risk measurement method Conditional Value-at-Risk (CVaR) is applied to the Croatian stock market to estimate the risk for 8 sectors in Croatia.
Aljinović Zdravka, Trgo Andrea
doaj +1 more source
Time-varying conditional Johnson SU density in value-at-risk (VaR) methodology [PDF]
Stylized facts on financial time series data are the volatility of returns that follow non-normal conditions such as leverage effects and heavier tails leading returns to have heavier magnitudes of extreme losses.
Cayton, Peter Julian A., Mapa, Dennis S.
core
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source