Tags: time series

Teaching Materials (1-5 of 5)

  1. 2008-Lawson-Marion-An Introduction to Mathematical Modelling

    06 Apr 2023 | Teaching Materials | Contributor(s):

    By Daniel Lawson

    NA

    This is a broad based set of notes with sections: Building Models, Studying Models, and Using Models. No depth on any model, no solution strategies, but good references to models, and general...

    https://qubeshub.org/publications/4018/?v=1

  2. 2008-Brewer-EtAl-Fitting ordinary differential equations to short time course data

    06 Apr 2023 | Teaching Materials | Contributor(s):

    By D M Brewer

    NA

    In this paper, we present a survey of existing algorithms and describe the main approaches. We also introduce and evaluate a new efficient technique for estimating ODEs linear in parameters...

    https://qubeshub.org/publications/4011/?v=1

  3. 2019-Stender_EtAl-Recovery_Of_Differential_Equations_From_Impulse_Response

    08 Mar 2023 | Teaching Materials | Contributor(s):

    By Merton Stendel

    NA

    In this work, a recent method, which allows reconstructing differential equations from time series data, is extended for higher degrees of automation.

    https://qubeshub.org/publications/3734/?v=1

  4. 6-067-LotkaVolterra-ModelingScenario

    16 May 2022 | Teaching Materials | Contributor(s):

    By Iordanka Panayotova1, Maila Hallare2

    1. Christopher Newport University 2. NSU Math

    This modeling scenario guides students through the process of fitting the Lotka-Volterra model of two differential equations to a real time series observational data. Students use the capabilities...

    https://qubeshub.org/publications/3079/?v=1

  5. IPMpack: an R package for Integral Projection Models

    11 Sep 2018 | Teaching Materials | Contributor(s):

    By C. Jessica E. Metcalf1, Sean M. McMahon2, Roberto Salguero-Gómez3, Eelke Jongejans4, Cory Merow5

    1. University of Oxford 2. Smithsonian Tropical Research Institute 3. University of Queensland 4. Radbound University Nijmegen 5. STRI and University of Connecticut

    IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.

    https://qubeshub.org/publications/779/?v=1