Results 41 to 50 of about 31,731,507 (308)
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Journal of Statistical Software, 2011 This paper uses several examples to show how the econometrics program RATS can be used to analyze state space models. It demonstrates Kalman filtering and smoothing, estimation of hyperparameters, unconditional and conditional simulation.
Thomas Doan
doaj
Maximal Good Step Graph Methods for Reducing the Generation of the State Space
IEEE Access, 2019 This paper proposes an effective method based on the two main partial order techniques which are persistent sets and covering step graph techniques, to deal with the state explosion problem. First, we introduce a new definition of sound steps, the firing
Hao Dou +4 more
doaj +1 more source
State-space predictive control [PDF]
Modeling, Identification and Control, 1992 This paper deals with a predictive control strategy based on state-space models. Important issues concerning inherent model identification and optimal control computation are briefly discussed.
Jens G. Balchen +2 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Krylov space methods on state-space control models [PDF]
Circuits, Systems, and Signal Processing, 1994 Three variants of the Lanczos algorithm for generating Krylov sequences and three examples of linear control theory applications of those were given. The systems considered are linearized systems arising from physical models with up to thousand states.
openaire +2 more sources
A state-space method for language modeling [PDF]
2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721), 2004 A new state-space method for language modeling is presented. The complexity of the model is controlled by choosing the dimension of the state instead of the smoothing and back-off methods common in n-gram modeling. The model complexity also controls the generalization ability of the model, allowing the model to handle similar words in a similar manner.
V. Siivola, A. Honkela
openaire +1 more source
Journal of Statistical Software, 2011 We illustrate how to estimate parameters of linear state-space models using the Stata program sspace. We provide examples of how to use sspace to estimate the parameters of unobserved-component models, vector autoregressive moving-average models, and ...
David M. Drukker, Richard B. Gates
doaj
Public Regulation of Space Activities in Ukraine [PDF]
Advanced Space Law, 2019 The article contains the results of the study of theoretical and methodological aspects of state regulation and administration of space activities in Ukraine.
Larysa Soroka
doaj +1 more source
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source