Results 251 to 260 of about 66,786 (305)

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

Bayesian Inference for Spatial-Temporal Non-Gaussian Data Using Predictive Stacking. [PDF]

Bayesian Anal
Pan S, Zhang L, Bradley JR, Banerjee S.
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

Biological causes and impacts of rugged tree landscapes in phylodynamic inference. [PDF]

Proc Natl Acad Sci U S A
Gao J, Brusselmans M, Carvalho LM, Suchard MA, Baele G, Matsen FA.   +5 more
europepmc   +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

Automated measurement of left ventricular ejection time via contactless suprasternal notch laser vibrometry. [PDF]

Sci Rep
Gonzalez-Billandon J, Andersson M, Waubert B, Ekman A, Bergin L, Hartzell L, Sahlén J, Gustafsson S, Tan Y, Valdman A, Windå M, Nilsson M, Spaak J, Hellqvist H.   +13 more
europepmc   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

A Bayesian estimator of the real-time case fatality rate in emerging pandemic to inform public health policy-making. [PDF]

BMC Infect Dis
Zhang H, Lee CY, Qu Y.
europepmc   +1 more source

On Integral Priors for Multiple Comparison in Bayesian Model Selection

International Statistical Review, EarlyView.
Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón, Juan Antonio Cano, Christian P. Robert   +2 more
wiley   +1 more source