Results 281 to 290 of about 205,970 (321)

WNT5a export onto extracellular vesicles studied at single‐molecule and single‐vesicle resolution

open access: yesThe FEBS Journal, EarlyView.
WNT signaling, which orchestrates tissue development and homeostasis, is mediated by hydrophobic WNT proteins traveling from secreting to receiving cells on various carriers. Here, fusion constructs of fluorescent proteins with WNT5a were developed and functionally validated.
Antonia Schubert   +16 more
wiley   +1 more source

Bond mutual fund performance: Evidence from the skill ratio and false discovery rate

open access: yesFinancial Review, EarlyView.
Abstract This paper applies a Skill Ratio under a False Discovery Rate (FDR) framework to bond mutual funds showing many bonds mutual fund managers are skilled primarily to the benefit of fund sponsors. Our Skill Ratio is the t‐statistic of realized gross value added (RVAG)$( {{\mathrm{RV}}{{\mathrm{A}}_{\mathrm{G}}}} )$ based on investible Morningstar
Lifa Huang   +2 more
wiley   +1 more source

PREDICTIVE DENSITY COMBINATION USING BAYESIAN MACHINE LEARNING

open access: yesInternational Economic Review, EarlyView.
Abstract Based on agent opinion analysis theory, Bayesian predictive synthesis (BPS) is a framework for combining predictive distributions in the face of model uncertainty. In this article, we generalize existing parametric implementations of BPS by showing how to combine competing probabilistic forecasts using interpretable Bayesian tree‐based machine
Tony Chernis   +4 more
wiley   +1 more source

Bargaining Foundations for Price Taking in Matching Markets

open access: yesInternational Economic Review, EarlyView.
ABSTRACT Agents make noncontractible investments before bargaining over who matches with whom and their terms of trade. An agent is a price taker when her investments do not change her potential partners' payoffs. This incentivizes socially optimal investments.
Matthew Elliott, Eduard Talamàs
wiley   +1 more source

Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions

open access: yesInternational Statistical Review, EarlyView.
Summary In recent years, reinforcement learning (RL) has acquired a prominent position in health‐related sequential decision‐making problems, gaining traction as a valuable tool for delivering adaptive interventions (AIs). However, in part due to a poor synergy between the methodological and the applied communities, its real‐life application is still ...
Nina Deliu   +2 more
wiley   +1 more source

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