Results 131 to 140 of about 279,412 (303)

Multivariate Option Pricing with Time Varying Volatility and Correlations [PDF]

In recent years multivariate models for asset returns have received much attention, in particular this is the case for models with time varying volatility. In this paper we consider models of this class and examine their potential when it comes to option
Jeroen V.K. Rombouts, Lars Stentoft
core   +2 more sources

Bayesian Joint Probability Approach for Post‐Processing Monthly Precipitation Prediction in Northwest Iran

Water Resources Research
The probabilistic prediction of monthly precipitation events, specifically more‐than‐normal (MN), normal (N), and less‐than‐normal (LN) events, holds significant importance in the field of water resource management.
Z. Javanshiri, M. Pakdaman
doaj   +1 more source

Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation

Advanced Science, EarlyView.
This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar, Yannaël Bossard, Rachel Sava, Tobias Gänswein, Lorenca Sadiraj, Jean‐Samuel Dupré, Manuel Schröter, J. Gray Camp, Fernando Cardes, Julian Bartram, Andreas Hierlemann   +10 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source

Prediction distribution of future regression and residual sum of squares matrices for multivariate simple regression model with correlated normal responses

, 2006
This paper considers multivariate simple regression model under normally distributed errors, for both realized and future responses, with unknown regression parameters and covariance matrix.
Khan, Shahjahan
core  

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Tumor‐Infiltrating mregDCs Restrain Anti‐Tumor Immunity in Early Relapse HCC

Advanced Science, EarlyView.
Tumor‐infiltrating mregDCs are regulated by the TNFR2‐non‐canonical NF‐κB axis, which is mediated by TNF‐α secreted by CD161+CD8+ T cells. These mregDCs recruit CD161+CD8+ T cells via the CCL20‐CCR6 axis, forming a positive feedback loop that enhances immunosuppression, promotes early recurrence of HCC, and further confirms TNFR2 as a key therapeutic ...
Zefan Zhang, Lin Ding, Yu Zhong, Haokang Feng, Linglong Huang, Waidong Huang, Chunqing Wang, Arne Östman, Beili Wang, Jian Zhou, Jia Fan, Wei Guo, Liang Wu, Yunfan Sun   +13 more
wiley   +1 more source

A new approach to calculate and forecast dynamic conditional correlation - the use of a multivariate heteroskedastic mixture model

Much research in finance has been directed towards forecasting time varying volatility of unidimensional macroeconomic variables such as stock index, exchange rate and interest rate.
Lu, Cheng
core  

A multivariate powered half-normal distribution

, 2008
The half-normal distribution has applications in various contexts, particularly in economic analysis (to describe, for example, inefficiency variables), reliability analysis and quality control.
BOLOGNA, Salvatore
core  

Targeting ANGPTL3 and IL‐33/ST2 Ameliorates Diabetic Kidney Disease by Reducing Lipotoxicity, Alleviating Inflammation and Inhibiting Fibrosis

Advanced Science, EarlyView.
Dual targeting of ANGPTL3 and IL‐33/ST2 attenuates diabetic kidney disease by reprogramming lipid–inflammatory crosstalk. This strategy reduces renal lipotoxicity, suppresses inflammatory activation, and limits fibrotic remodeling, thereby preserving kidney structure and function and highlighting a mechanism‐guided therapeutic approach for metabolic ...
Zhuojin Li, Zhonglian Cao, Rongrui Zhou, Xu Cheng, Xiaozhi Hu, Shuwen Xu, Zihan Dou, Ling Du, Dianwen Ju   +8 more
wiley   +1 more source