Results 131 to 140 of about 13,921 (215)

Miners' Reward Elasticity and Stability of Competing Proof‐of‐Work Cryptocurrencies

International Economic Review, EarlyView.
ABSTRACT Proof‐of‐Work cryptocurrencies employ miners to sustain the system through algorithmic reward adjustments. We develop a stochastic model of the multicurrency mining and identify conditions for stable transaction speeds. Bitcoin's algorithm requires hash supply elasticity <$<$1 for stability, while ASERT remains stable for any elasticity and ...
Kohei Kawaguchi, Junpei Komiyama, Shunya Noda   +2 more
wiley   +1 more source

Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model. [PDF]

Sci Rep
Picinini Freitas L, Douwes-Schultz D, Schmidt AM, Ávila Monsalve B, Salazar Flórez JE, García-Balaguera C, Restrepo BN, Jaramillo-Ramirez GI, Carabali M, Zinszer K.   +9 more
europepmc   +1 more source

The Short and the Long of It: Stock‐Flow Matching in the US Housing Market

International Economic Review, EarlyView.
ABSTRACT From 2006 until 2020, the probability of selling a house in the U.S. declined sharply after listing for 2 weeks. Moreover, sales within the first 2 weeks of listing (“quick sales”) and sales happening afterward (“slow sales”) behaved differently over the housing cycle.
Eric Smith, Zoe Xie, Lei Fang
wiley   +1 more source

Labor Market Monopsony Power and the Dynamic Gains to Openness Reforms

International Economic Review, EarlyView.
ABSTRACT We embed labor market monopsony into a dynamic heterogeneous‐firm general equilibrium model with exporting, horizontal FDI, and rich firm lifecycle dynamics. Rising marginal costs with monopsony slow and limit incumbent firm growth in response to liberalization, shifting adjustment to the extensive margin.
Priyaranjan Jha, Antonio Rodriguez‐Lopez, Adam Hal Spencer   +2 more
wiley   +1 more source

A Horse Race of Machine‐Learning Methods to Predict Banking Crises

International Finance, EarlyView.
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley   +1 more source

Assessing Market Risk in BRICS and Oil Markets: An application of Markov Switching and Vine Copula

, 2021
Muteba Mwamba JW, Mwambi SM.
europepmc   +1 more source

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

Deep reinforcement learning for multi‐restart metaheuristics: an environment design for a hybrid of unbiased exploratory search and covariance matrix adaptation evolution strategy

International Transactions in Operational Research, EarlyView.
Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley   +1 more source

Bimekizumab efficacy using IHS4 outcomes in hidradenitis suppurativa: Results from BE HEARD I and II

Journal of the European Academy of Dermatology and Venereology, EarlyView.
The majority of bimekizumab‐treated patients shifted from severe to mild and moderate IHS4 stages, and nearly 25% achieved an IHS4 of 0 by Week 48. Bimekizumab led to clinically meaningful improvements across IHS4 outcome measures. These data highlight an opportunity to address the need for effective treatments against draining tunnels.
Thrasyvoulos Tzellos, Evangelos J. Giamarellos‐Bourboulis, Kelsey R. van Straalen, Antonio Martorell, Brian Kirby, Afsaneh Alavi, Koremasa Hayama, Saakshi Khattri, Wayne Gulliver, Christopher J. Sayed, Leah Davis, Robert L. Rolleri, Christina Crater, Ingrid Pansar, Jérémy Lambert, Christos C. Zouboulis   +15 more
wiley   +1 more source

The expected inflation risk premium in the U.S. stock market

Journal of Financial Research, EarlyView.
Abstract This article studies how expected inflation risk affects asset prices. We propose an ex‐ante, tradable proxy for this risk, derived from the term spread of gold futures prices. Using cross‐sectional and time series asset pricing tests, we show how an increase in expected inflation risk lowers contemporaneous prices and raises equity returns ...
Pascal Letourneau, Gabriel J. Power, Garrett C. C. Smith   +2 more
wiley   +1 more source