Results 161 to 170 of about 152,408 (254)

The SPoRC Stock Assessment Package: A Generalized Next‐Generation Platform to Assess Spatial, Age and Sex‐Structured Populations

Fish and Fisheries, EarlyView.
ABSTRACT Fisheries managers increasingly rely on stock assessment models to provide sustainable management advice, which must balance complex and competing objectives. Although assessment models necessitate simplifying assumptions, there is increasing recognition to improve the integration of realistic biological and fishery dynamics. While ongoing and
Matthew LH. Cheng, Daniel R. Goethel, Curry J. Cunningham, Peter‐John F. Hulson, James N. Ianelli, Kristen L. Omori   +5 more
wiley   +1 more source

Linking brain and behavior states in Zebrafish Larvae locomotion using hidden Markov models. [PDF]

PLoS Comput Biol
Dommanget-Kott M, Fernandez-de-Cossio-Diaz J, Coraggioso M, Bormuth V, Monasson R, Debrégeas G, Cocco S.   +6 more
europepmc   +1 more source

Temporal Evolution of Contaminant Mass Discharge: Effect of Source Remediation at Contaminated Sites

Groundwater Monitoring &Remediation, EarlyView.
Abstract Contaminant mass discharge (CMD) is a key metric for evaluating remediation performance at contaminated sites posing a risk to groundwater. This study assesses temporal CMD trends and associated uncertainties using a geostatistical approach at a chlorinated solvent contaminated site following source zone remediation, supported by two decades ...
Anton Bøllingtoft, Mads Troldborg, Charlotte Riis, Nina Tuxen, Poul L. Bjerg   +4 more
wiley   +1 more source

A Magic Act in Causal Reasoning: Making Markov Violations Disappear. [PDF]

Entropy (Basel)
Rehder B.
europepmc   +1 more source

Linking eBird data with high spatiotemporal remote sensing products to estimate occupancy of bird populations across the island of Ireland

Ibis, EarlyView.
The vast increase in biodiversity data generated through citizen science initiatives, alongside a growing suite of remote sensing products and advanced modelling tools, has opened new avenues for rapidly, accurately and efficiently monitoring species trends to inform conservation, management and policy.
Ramiro D. Crego, Solène Gobet, John Kennedy, Brian Burke, Andrew Lynch, Dick Coombes, Sinéad Cummins, Lesley Lewis   +7 more
wiley   +1 more source

When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation

International Economic Review, EarlyView.
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley   +1 more source

Activity Detection and Channel Estimation Based on Correlated Hybrid Message Passing for Grant-Free Massive Random Access. [PDF]

Entropy (Basel)
Liu X, Gong X, Fu X.
europepmc   +1 more source

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

The impact of intransitivity on the Elo rating system. [PDF]

PLoS One
Hamilton AH, Kalenkova A, Roughan M.
europepmc   +1 more source

Variance Matrix Priors for Dirichlet Process Mixture Models With Gaussian Kernels

International Statistical Review, EarlyView.
Summary Bayesian mixture modelling is widely used for density estimation and clustering. The Dirichlet process mixture model (DPMM) is the most popular Bayesian non‐parametric mixture modelling approach. In this manuscript, we study the choice of prior for the variance or precision matrix when Gaussian kernels are adopted.
Wei Jing, Michail Papathomas, Silvia Liverani   +2 more
wiley   +1 more source