Results 101 to 110 of about 5,866,539 (305)
Modeling model uncertainty [PDF]
Recently there has been much interest in studying monetary policy under model uncertainty. We develop methods to analyze different sources of uncertainty in one coherent structure useful for policy decisions.
Onatski, Alexei, Williams, Noah
core +2 more sources
Unions, wage setting and monetary policy uncertainty [PDF]
Recent theoretical research has studied extensively the link between wage setting and monetary policymaking in unionized economies. This paper addresses the question of the role of monetary uncertainty from both an empirical and theoretical point of view.
Hayo, Bernd +2 more
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
The Effect of Uncertainty on Monetary Policy: How Good are the Brakes? [PDF]
In practice, monetary policy changes tend to produce a smooth path for interest rates while the path of policy interest rates generated by models is often considerably more variable.
Guy Debelle, Adam Cagliarini
core
Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
Advanced Science, EarlyView.This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Optimal Monetary Policy Under Uncertainty in DSGE Models: A Markov Jump-Linear-Quadratic Approach [PDF]
We study the design of optimal monetary policy under uncertainty in a dynamic stochastic general equilibrium model. We use a Markov jump-linear-quadratic (MJLQ) approach to study policy design, proxying the uncertainty by different discrete modes in a ...
Lars E.O. Svensson, Noah Williams
core +2 more sources
Policy Uncertainty and Corporate Investment
, 2015 Huseyin Gulen, Mihai Ion
semanticscholar +1 more source
Ethical Precision in Nanoscale Brain Interfacing
Advanced Science, EarlyView.As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley +1 more source
Climate Policy and Uncertainty: The Roles of Adaptation versus Mitigation [PDF]
Climate Policy and Uncertainty: The Roles of Adaptation versus Mitigationclimate change,uncertainty ...
Warwick J. McKibbin, Peter J. Wilcoxen
core