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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

Markov Chain Monte Carlo Methods: Park I: Simple Monte Carlo

, 2003
Krishna B. Athreya, Mohan Delampady, T. Krishnan   +2 more
openalex   +1 more source

Fine‐scale patterns of genetic structure in three species of forest birds reveal dynamic Pleistocene history within an Amazonian interfluve

Ibis, EarlyView.
Phylogeographical studies of Amazonian birds have revealed large intraspecific diversity, even within recognized areas of endemism. To understand the origin and organization of Amazonian diversity, including the influence of current and historical landscapes, we need to evaluate fine‐scale patterns of genetic diversity in relation to detailed ...
Affonso Henrique Nascimento de Souza, Camila Duarte Ritter, João Marcos Guimarães Capurucho, Juliana Menger, Camila Cherem Ribas   +4 more
wiley   +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

Perceptual Multistability as Markov Chain Monte Carlo Inference

, 2009
Samuel J. Gershman, Ed Vul, Joshua B. Tenenbaum   +2 more
openalex   +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

MARKOV CHAIN MONTE CARLO METHODS FOR REGRESSION SPLINES WITH A PENALIZED ACCEPTANCE RATIO

, 2006
David Keith Stamps
openalex   +1 more source

Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach

, 2014
Rémi Bardenet, Randal Douc, Chris Holmes   +2 more
openalex   +1 more source

Efficient Sampling Using Markov Chain Monte Carlo Methods

Ruoqi Shen
openalex   +1 more source

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Markov Chain Monte Carlo

WiSt - Wirtschaftswissenschaftliches Studium, 2015
This chapter explains how to implement Bayesian analyses using the Markov chain Monte Carlo (MCMC) algorithm, a set of methods for Bayesian analysis made popular by the seminal paper of Gelfand and Smith (1990). It begins with an explanation of MCMC with a heuristic, high-level treatment of the algorithm, describing its operation in simple terms with a
N. Thompson Hobbs, Mevin B. Hooten
  +5 more sources