Jacob Leander

Doktorand vid Chalmers, Matematiska vetenskaper, Analys och sannolikhetsteori

An applied researcher with a passion for data-driven development.

Källa: orcid.org

Visar 10 publikationer

2019

Parameter Estimation for Nonlinear Mixed Effects Models Implemented in Mathematica

Jacob Leander, Joachim Almquist, Helga Kristín Ólafsdóttir et al
Poster (konferens)
2018

Exact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic Dynamics

Helga Kristín Ólafsdóttir, Jacob Leander, Joachim Almquist et al
AAPS Journal. Vol. 20 (5)
Artikel i vetenskaplig tidskrift
2017

Exact Gradients Improve Parameter Estimation in Nonlinear Mixed Effects Models with Stochastic Dynamics

Helga Kristin Olafsdottir, Jacob Leander, Joachim Almquist et al
Poster (konferens)
2015

Sensitivity Equations Provide More Robust Gradients and Faster Computation of the FOCE Approximation to the Population Likelihood

Joachim Almquist, Jacob Leander, Mats Jirstrand
Proceedings of the 24th Annual meeting of the Population Approach Group in Europe, PAGE2015
Poster (konferens)
2015

Using sensitivity equations for computing gradients of the FOCE and FOCEI approximations to the population likelihood

Joachim Almquist, Jacob Leander, Mats Jirstrand
Journal of Pharmacokinetics and Pharmacodynamics. Vol. 42 (3), p. 191-209
Artikel i vetenskaplig tidskrift
2015

Mixed Effects Modeling Using Stochastic Differential Equations: Illustrated by Pharmacokinetic Data of Nicotinic Acid in Obese Zucker Rats

Jacob Leander, Joachim Almquist, Christine Ahlström et al
AAPS Journal. Vol. 17 (3), p. 586-596
Artikel i vetenskaplig tidskrift
2014

Joint feedback analysis modeling of nonesterified fatty acids in obese zucker rats and normal sprague-dawley rats after different routes of administration of nicotinic acid

Sofia Tapani, Joachim Almquist, Jacob Leander et al
Journal of Pharmaceutical Sciences. Vol. 103 (8), p. 2571-2584
Artikel i vetenskaplig tidskrift
2014

Stochastic differential equations as a tool to regularize the parameter estimation problem for continuous time dynamical systems given discrete time measurements

Jacob Leander, Torbjörn Lundh, Mats Jirstrand
Mathematical Biosciences. Vol. 251 (1), p. 54-62
Artikel i vetenskaplig tidskrift
2014

Mixed-effects modeling using stochastic differential equations - Applications to pharmacokinetic modeling

Jacob Leander, Joachim Almquist, Christine Ahlström et al
Population Approach Group Europe (PAGE) 2014
Poster (konferens)
2014

Contributions to nonlinear mixed-effects modeling

Jacob Leander
Licentiatavhandling

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