A phylogenetic comparative method for studying multivariate adaptation
Phylogenetic comparative methods have been limited in the way they model adaptation.
Although some progress has been made, there are still no methods that can fully account for …
Although some progress has been made, there are still no methods that can fully account for …
Beyond Brownian motion and the Ornstein-Uhlenbeck process: stochastic diffusion models for the evolution of quantitative characters
SP Blomberg, SI Rathnayake… - The American …, 2020 - journals.uchicago.edu
Gaussian processes, such as Brownian motion and the Ornstein-Uhlenbeck process, have
been popular models for the evolution of quantitative traits and are widely used in …
been popular models for the evolution of quantitative traits and are widely used in …
A unifying comparative phylogenetic framework including traits coevolving across interacting lineages
Abstract Models of phenotypic evolution fit to phylogenetic comparative data are widely used
to make inferences regarding the tempo and mode of trait evolution. A wide range of models …
to make inferences regarding the tempo and mode of trait evolution. A wide range of models …
[HTML][HTML] Effect of Polytomy on the Parameter Estimation and Goodness of Fit of Phylogenetic Linear Regression Models for Trait Evolution
DC Jhwueng, FC Liu - Diversity, 2022 - mdpi.com
Phylogenetic regression models for trait evolution incorporate phylogenetic trees for the
analysis of comparative data, in order to study trait relationships among a group of related …
analysis of comparative data, in order to study trait relationships among a group of related …
Modeling rate of adaptive trait evolution using Cox–Ingersoll–Ross Process: an approximate Bayesian computation approach
DC Jhwueng - Computational Statistics & Data Analysis, 2020 - Elsevier
Over the past decades, Gaussian processes have been widely used to study trait evolution.
In particular, two members of Gaussian processes, Brownian motion and the Ornstein …
In particular, two members of Gaussian processes, Brownian motion and the Ornstein …
Unbiased estimation of the Hessian for partially observed diffusions
In this article, we consider the development of unbiased estimators of the Hessian, of the log-
likelihood function with respect to parameters, for partially observed diffusion processes …
likelihood function with respect to parameters, for partially observed diffusion processes …
[HTML][HTML] Well posedness for one class of elliptic equations with drift
KN Ospanov - Boundary Value Problems, 2023 - Springer
We studied one class of second-order elliptic equations with intermediate coefficient and
proved that the semi-periodic problem on a strip is unique solvable in Hilbert space. We …
proved that the semi-periodic problem on a strip is unique solvable in Hilbert space. We …
[PDF][PDF] Maximal Lp-regularity for a second-order differential equation with unbounded intermediate coefficient
K Ospanov - Electronic Journal of Qualitative Theory of Differential …, 2019 - real.mtak.hu
We consider the following equation− y+ r (x) y+ q (x) y= f (x), where the intermediate
coefficient r is not controlled by q and it is can be strong oscillate. We give the conditions of …
coefficient r is not controlled by q and it is can be strong oscillate. We give the conditions of …
[HTML][HTML] Optimal stable Ornstein–Uhlenbeck regression
H Masuda - Japanese Journal of Statistics and Data Science, 2023 - Springer
We prove asymptotically efficient inference results concerning an Ornstein–Uhlenbeck
regression model driven by a non-Gaussian stable Lévy process, where the output process …
regression model driven by a non-Gaussian stable Lévy process, where the output process …
Adaptive trait evolution in random environment
DC Jhwueng, V Maroulas - Journal of Applied Statistics, 2016 - Taylor & Francis
Current phylogenetic comparative methods generally employ the Ornstein–Uhlenbeck (OU)
process for modeling trait evolution. Being able of tracking the optimum of a trait within a …
process for modeling trait evolution. Being able of tracking the optimum of a trait within a …