Results 91 to 100 of about 33,037,406 (304)
Journal of Marine Science and EngineeringThis paper proposes an innovative algorithm for forecasting the motion response of floating offshore wind turbines by employing force-to-motion transfer functions and state-space models. Traditional numerical integration techniques, such as the Newmark-β
Jie Xu +6 more
doaj +1 more source
FEBS Letters, EarlyView.Mycobacterial 3‐methylcrotonyl‐CoA carboxylase uses a mobile biotin‐carrying domain to shuttle a carboxyl group between two catalytic sites, enabling carboxylation of 3‐methylcrotonyl‐CoA during leucine breakdown. Cryo‐electron microscopy captures the carrier at both sites and reveals an inward loop movement that may prevent futile rebinding to the ...
Ajit Yadav +2 more
wiley +1 more source
Statistical Software for State Space Methods [PDF]
In this paper we review the state space approach to time series analysis and establish the notation that is adopted in this special volume of the Journal of Statistical Software.
Jacques J. F. Commandeur +2 more
core
Identification of nonlinear lateral flow immunoassay state-space models via particle filter approach [PDF]
, 2012 This is the post-print of the Article. The official published version can be accessed from the link below - Copyright @ 2012 IEEEIn this paper, the particle filtering approach is used, together with the kernel smoothing method, to identify the state ...
Zidong Wang +9 more
core +1 more source
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
State Space Modeling Using SsfPack in S+FinMetrics 3.0 [PDF]
This paper presents two illustrations of state space modeling in S-PLUS using the SsfPack 3.0 routines implemented in S+FinMetrics 3.0. The state space modeling functions in S+FinMetrics/SsfPack are extremely flexible and powerful and can be used for a ...
Eric W. Zivot
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Multi-species state-space modelling of the hen harrier (Circus cyaneus) and red grouse (Lagopus lagopus scoticus) in Scotland [PDF]
, 2010 State-space modelling is a powerful tool to study ecological systems. The direct inclusion of uncertainty, unification of models and data, and ability to model unobserved, hidden states increases our knowledge about the environment and provides new ...
New, Leslie Frances
core +2 more sources
Chiral separation of chloroalkanes with the chromatographic column onboard Martian rovers
FEBS Letters, EarlyView.Computer image of the Rosalind Franklin Rover of ESA's ExoMars mission. ExoMars is scheduled to land on planet Mars in Oxia Planum in 2029. This area represents an interesting spot to look for biosignatures. Investigations of ExoMars include measurement on molecular chirality. We show that chiral chloroalkanes, that have been identified on Mars, can be
Asma Merzougui +4 more
wiley +1 more source
Interactive and common knowledge in the state-space model [PDF]
This paper deals with the prevailing formal model for knowledge in contemporary economics, namely the state-space model introduced by Robert Aumann in 1976.
Moscati Ivan
core
Efficient Monte Carlo methods for Bayesian state-space model inference [PDF]
State-space models are widely used to model time series data where the observations depend on a latent process. The latent process consists of a sequence of latent states that evolve according to a specified system process.
Llewellyn, Mary
core +1 more source