Effective actions for statistical data assimilation
نویسندگان
چکیده
منابع مشابه
Effective Actions for Ensemble Data Assimilation
Ensemble data assimilation is a problem in determining the most likely phase space trajectory of a model of an observed dynamical system as it receives inputs from measurements passing information to the model. Using methods developed in statistical physics, we present effective actions and equations of motion for the mean orbits associated with the temporal development of a dynamical model whe...
متن کاملImproved variational methods in statistical data assimilation
Data assimilation transfers information from an observed system to a physically based model system with state variables x(t). The observations are typically noisy, the model has errors, and the initial state x(t0) is uncertain: the data assimilation is statistical. One can ask about expected values of functions 〈G(X)〉 on the path X={x(t0), . . .,x(tm)} of the model state through the observation...
متن کاملHVC Interneuron Properties from Statistical Data Assimilation
Data assimilation (DA) solves the inverse problem of inferring initial conditions given data and a model. Here we use biophysically motivated HodgkinHuxley (HH) models of avian HVCI neurons, experimentally obtained recordings of these neurons, and our data assimilation algorithm to infer the full set of parameters and a minimal set of ionic currents precisely reproducing the observed waveform i...
متن کاملHVCI Neuron Properties from Statistical Data Assimilation
Data assimilation (DA) solves the inverse problem of inferring initial conditions given data and a model. Here we use biophysically motivated HodgkinHuxley (HH) models of avian HVCI neurons, experimentally obtained recordings of these neurons, and our data assimilation algorithm to infer the full set of parameters and a minimal set of ionic currents precisely reproducing the observed waveform i...
متن کاملMachine Learning as Statistical Data Assimilation
We identify a strong equivalence between neural network based machine learning (ML) methods and the formulation of statistical data assimilation (DA), known to be a problem in statistical physics. DA, as used widely in physical and biological sciences, systematically transfers information in observations to a model of the processes producing the observations. The correspondence is that layer la...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Physics Letters A
سال: 2009
ISSN: 0375-9601
DOI: 10.1016/j.physleta.2009.08.072