Bayesian models for spatially explicit interactions between neighbouring plants
Methods in Ecology and Evolution, Volume 13, Issue 12, Page 2788-2798, December 2022., 2022 Abstract Interactions between neighbouring plants drive population and community dynamics in terrestrial ecosystems. Understanding these interactions is critical for both fundamental and applied ecology. Spatial approaches to model neighbour interactions are necessary, as interaction strength depends on the distance between neighbouring plants.
Cristina Barber +4 more
wiley +1 more source
Suavizamiento spline semiparamétrico para modelar simultaneamente las funciones media y varianza con respuestas de la familia exponencial biparamétrica: una perspectiva bayesiana [PDF]
, 2022 ilustraciones, gráficas, tablasStatistical applications need to address an increasing complexity due to new data arising from recent technologies, new phenomenons, and diverse sources of uncertainty. The demand for flexible methods with non-standard data
Zárate Solano, Héctor Manuel
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Inferencia bayesiana para algunas leyes de Lanchester [PDF]
, 2000 Lanchester (1916) introdujo una serie de ecuaciones o leyes determinísticas para modelar los números de bajas en un combate sin refuerzos. Un inconveniente de estos modelos es que no son útiles ni para la inferencia ni para la predicción, ya que el ...
Young, K. D. S. +2 more
core +2 more sources
Métodos de reconstrucción filogenética II: inferencia bayesiana
Tequio, 2021 Phylogenetic reconstruction through Bayesian inference is currently widely used. The main advantage of this method is the direct output of posterior probabilities for each clade on the final phylogeny. Thus, it does not require bootstrapping as a measure of uncertainty.
openaire +2 more sources
Inferencia Bayesiana y metodología de modelos lineales mixtos aplicados al mejoramiento del maíz [PDF]
, 2006 F. Mora y E. Arnhold. 2006. Inferencia Bayesiana y metodología de modelos lineales mixtos aplicados al mejoramiento del maíz. Cien. Inv. Agr. 33(3):217-223.
Arnhold, Emmanuel, Mora, Freddy
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Modelos lineales doblemente generalizados con enfoque bayesiano: teoría y aplicaciones en R, OpenBUGS y Stan [PDF]
, 2020 This work presents Double Generalized Linear Models as a technique which allows data modeling when there is variable dispersion. This document contains theoretical aspects and details about bayesian estimation using Stan and OpenBUGS programming ...
Ávila Perico, Hernan David
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Segmentación de imágenes médicas mediante inferencia bayesiana [PDF]
, 2023 Las imágenes médicas son una herramienta de suma utilidad diagnóstica en medicina, proporcionando información anatómica o funcional de forma mínimamente invasiva.
Cárdenas Szigety, Rodrigo
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Bases científicas del razonamiento clínico: inferencia Bayesiana [PDF]
Revista médica de Chile, 2019 A conceptual analysis of diagnostic reasoning in clinical practice is carried out. Using Bayesian inference as an alternative to frequentist inference usually used in science, clinical reasoning uses the scientific method step by step. The concepts of scientific method, probability, statistics and Bayesian inference are reviewed, highlighting their ...
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Contribuciones a la Inferencia Bayesiana Aproximada para Aprendizaje Automático [PDF]
, 2022 Tesis inédita de la Universidad Complutense de Madrid, Facultad de Ciencias Matemáticas, leída el 18-01-2022Machine learning (ML) methods can learn from data and then be used for making predictions on new data instances. However, some of the most popular
Rodríguez Santana, Simón
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Inferência bayesiana da conversão alimentar em diferentes experimentos animais
Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2016 O presente trabalho teve por objetivo avaliar a conversão alimentar (CA) por meio da inferência bayesiana considerando-se análises bivariadas. Foram utilizadas diferentes espécies animais de experimentos conduzidos na Universidade Federal de Viçosa, no ...
R.M. Rossi +8 more
doaj +1 more source