Fast Bayesian choice of phylogenetic models: prospecting data augmentation-based thermodynamic integration.

نویسندگان

  • Nicolas Rodrigue
  • Stéphane Aris-Brosou
چکیده

Fast Bayesian Choice of Phylogenetic Models: Prospecting Data Augmentation–Based Thermodynamic Integration NICOLAS RODRIGUE1,2,3,∗ AND STÉPHANE ARIS-BROSOU1,4 1Department of Biology and Center for Advanced Research in Environmental Genomics, University of Ottawa, 30 Marie Curie Pvt., Ottawa, ON, Canada K1N 6N5; 2Quebec Center for Biodiversity Science, McGill University, 1205 Drive, Penfield Avenue, Montreal, QC, Canada H3A 1B1; 3Eastern Cereal and Oilseeds Research Center, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON, Canada K1A 0C6; and 4Department of Mathematics and Statistics, University of Ottawa, Ottawa, ON, Canada K1N 6N5; ∗Correspondence to be sent to: Eastern Cereal and Oilseeds Research Center, Agriculture and Agri-Foods Canada, 960 Carling Avenue, Ottawa, ON, Canada K1A 0C6; E-mail: nicolas.rodrigue@agr.gc.ca.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Choosing among Partition Models in Bayesian Phylogenetics

Bayesian phylogenetic analyses often depend on Bayes factors (BFs) to determine the optimal way to partition the data. The marginal likelihoods used to compute BFs, in turn, are most commonly estimated using the harmonic mean (HM) method, which has been shown to be inaccurate. We describe a new more accurate method for estimating the marginal likelihood of a model and compare it with the HM met...

متن کامل

Development of an in-cylinder processes model of a CVVT gasoline engine using artificial neural network

Today, employing model based design approach in powertrain development is being paid more attention. Precise, meanwhile fast to run models are required for applying model based techniques in powertrain control design and engine calibration. In this paper, an in-cylinder process model of a CVVT gasoline engine is developed to be employed in extended mean valve control oriented model and also mod...

متن کامل

The Family of Scale-Mixture of Skew-Normal Distributions and Its Application in Bayesian Nonlinear Regression Models

In previous studies on fitting non-linear regression models with the symmetric structure the normality is usually assumed in the analysis of data. This choice may be inappropriate when the distribution of residual terms is asymmetric. Recently, the family of scale-mixture of skew-normal distributions is the main concern of many researchers. This family includes several skewed and heavy-tailed d...

متن کامل

The Analysis of Bayesian Probit Regression of Binary and Polychotomous Response Data

The goal of this study is to introduce a statistical method regarding the analysis of specific latent data for regression analysis of the discrete data and to build a relation between a probit regression model (related to the discrete response) and normal linear regression model (related to the latent data of continuous response). This method provides precise inferences on binary and multinomia...

متن کامل

Bayesian Analysis of Censored Spatial Data Based on a Non-Gaussian Model

Abstract: In this paper, we suggest using a skew Gaussian-log Gaussian model for the analysis of spatial censored data from a Bayesian point of view. This approach furnishes an extension of the skew log Gaussian model to accommodate to both skewness and heavy tails and also censored data. All of the characteristics mentioned are three pervasive features of spatial data. We utilize data augme...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Systematic biology

دوره 60 6  شماره 

صفحات  -

تاریخ انتشار 2011