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18 lip 2012 · Main. As most biological processes are dynamic, time-series experiments are key to our ability to understand and model these processes. Although several types of genomics data can be measured...
28 cze 2021 · I discuss some common pitfalls of time-series analysis, and use simulations of various biologging data types to stress-test common modelling frameworks to determine when parameter estimates are robust, and so can form a solid foundation for hypothesis testing and biological inference.
11 mar 2015 · Time-series data gathered from biological and technological systems capture the underlying dynamics of the ongoing processes. For a single component of the system, the corresponding time-series...
8 sie 2017 · Time-series data from 16S rDNA amplicon sequencing are becoming more common within microbial ecology, but methods to infer ecological interactions from these longitudinal data are limited.
We represent time series measurements with Y1;:::;YT where T is the total num-ber of measurements. In order to analyze a time series, it is useful to set down a statistical model in the form of a stochasticprocess. A stochastic process can be described as a statistical phenomenon that evolves in time. While most statistical
7 lip 2003 · Interpreting time-series analyses for continuous-time biological models—measles as a case study. An increasing number of recent studies involve the fitting of mechanistic models to ecological time-series. In some cases, it is necessary for these models to be discrete-time approximations of continuous-time processes.
13 maj 2024 · We present BayModTS (Bayesian modelling of time series data), a new FAIR (findable, accessible, interoperable, and reusable) workflow for processing and analysing sparse and highly variable time series data.
