A phylogenetic comparative method for studying multivariate adaptation

K Bartoszek, J Pienaar, P Mostad, S Andersson… - Journal of Theoretical …, 2012 - Elsevier
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 …

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 …

A unifying comparative phylogenetic framework including traits coevolving across interacting lineages

M Manceau, A Lambert, H Morlon - Systematic biology, 2017 - academic.oup.com
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 …

[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 …

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 …

Unbiased estimation of the Hessian for partially observed diffusions

NK Chada, A Jasra, F Yu - Proceedings of the Royal …, 2022 - royalsocietypublishing.org
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 …

[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 …

[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 …

[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 …

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 …