Results 121 to 130 of about 66,786 (305)
We used 4 sampling methods to estimate or index the abundance and sex ratio of spotted salamanders (Ambystoma maculatum) over 14 years. The present study highlights the importance of considering individual heterogeneity in capture probability when estimating abundance of pond‐breeding amphibians from capture data with imperfect detection. Abstract Long‐
Patrick D. Moldowan +3 more
wiley +1 more source
Parallel hierarchical sampling:a general-purpose class of multiple-chains MCMC algorithms [PDF]
This paper introduces the Parallel Hierarchical Sampler (PHS), a class of Markov chain Monte Carlo algorithms using several interacting chains having the same target distribution but different mixing properties.
Antonietta Mira, Fabio Rigat
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Phenotypic Subtypes of Obstructive Eustachian Tube Dysfunction as Defined by Cluster Analysis
Obstructive ETD encompasses five clinically distinct phenotypes, ranging from mild, post‐upper respiratory infection presentations to chronic, bilateral disease driven by sinusitis and reflux. These were identified through hierarchical cluster analysis of 490 patients using seven key clinical variables.
Jenilkumar H. Patel +4 more
wiley +1 more source
Abstract Background The identification of Parkinson's disease (PD) subtypes is crucial for predicting the disease course and designing personalized therapeutic strategies. Objectives The aim of the study was to characterize the heterogeneity of the spatiotemporal evolutionary patterns of striatal dopamine depletion and cerebral hypoperfusion in PD ...
Yeeun Sun +9 more
wiley +1 more source
An ergodicity result for adaptive Langevin algorithms [PDF]
We consider a class of adaptive MCMC algorithms using a Langevin-type proposal density. We prove that these are algorithms are ergodic when the target density has exponential tail behaviour.
Marshall, Tristan, Roberts, Gareth O.
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We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001)
de Freitas, N +3 more
openaire +3 more sources
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner +7 more
wiley +1 more source
The Irano‐Turanian Floristic Region harbors a rich flora, but our understanding of the development of this diversity is limited by a lack of data on phylogenetic relationships and biogeographic patterns of endemic and more widespread plants. Hypotheses of in situ diversification versus allopatric diversification were tested using Iris subgen. Scorpiris,
Mona Salimbahrami +4 more
wiley +1 more source
MCMC-based detection for random access with preambles in MTC
© 1972-2012 IEEE. Random access has been considered for machine-type communication (MTC). In particular, a random access scheme with a pool of preambles is widely studied, which is similar to multichannel ALOHA, to support a number of MTC devices.
Jinho Choi (13076106)
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