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Periodic Orbits of Hybrid Systems and Parameter Estimation via AD
Hybrid Systems Parameter Estimation via AD
2015/8/25
Rhythmic, periodic processes are ubiquitous in biological systems; for example,
the heart beat, walking, circadian rhythms and the menstrual cycle. Modeling
these processes with high delity as peri...
Parameter estimation for bursting neural models
bursting neural models Parameter estimation
2015/8/25
This paper presents work on parameter estimation
methods for bursting neural models. In our
approach we use both geometrical features specific to
bursting, as well as general features such as perio...
Generalization of Extended Baum-Welch Parameter Estimation for Discriminative Training and Decoding
Extended Baum-Welch optimization speech
2015/7/28
We demonstrate the generalizability of the Extended Baum-Welch (EBW) algorithm not only for HMM parameter estimation but for decoding as well. We show that there can exist a general function associate...
A Parameter Estimation Model of G-CSF: Mathematical Model of Cyclical Neutropenia
FFT Modeling Cyclical Neutropenia Neutrophil G-CSF
2013/1/30
We investigate the FFT (Fast Fourier Transform) model and G-CSF (granulocytecolony-stimulating factor) treatment of CN (Cyclical Neutropenia). We collect grey collies and normal dog!ˉs data from CN an...
An adaptive sequential optimum design for model selection and parameter estimation in non-linear nested models
D-optimality KL-optimality DKL-optimality log-likelihood ratio test stochastic convergence sequential optimum design
2011/10/9
Abstract: This work propose a sequential procedure which is useful to select the best model among several nested non-linear models and to estimate efficiently the parameters of the chosen model. At ea...
Non-asymptotic deviation inequalities for smoothed additive functionals in non-linear state-space models with applications to parameter estimation
Non-asymptotic deviation inequalities smoothed additive functionals in non-linear state-space parameter estimation
2011/2/22
Approximating joint smoothing distributions using particle-based methods is a well-known issue in statistical inference when operating on general state space hidden Markov models (HMM). In this paper ...
Multipath Parameter Estimation from OFDM Signals in Mobile Channels
Parameter Estimation OFDM Signals Mobile Channels
2010/11/18
We study multipath parameter estimation from orthogonal frequency division multiplex signals transmitted over doubly dispersive mobile radio channels. We are interested in cases where the transmissio...
Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs
Convergence Rate Analysis Fundamental Limits and Tradeoffs
2010/11/12
The paper considers gossip distributed estimation of a (static) distributed random field (a.k.a., large scale unknown parameter vector) observed by sparsely interconnected sensors, each of which only ...
State and parameter estimation using Monte Carlo evaluation of path integrals
parameter estimation path integrals Monte Carlo
2010/4/6
Transferring information from observations of a dynamical system to estimate the fixed parameters and unobserved states of a system model can be formulated as the evaluation of a discrete time path in...
Parameter estimation of Burr type X distribution for grouped data
Burr type X Bayesian estimation Grouped data Posterior distribution
2010/9/10
In this paper, we obtain Bayesian and non-Bayesian estimators for the parameter of the Burr type X distribution under grouped data. We apply our results to artificial data.
New performance bounds in signal parameter estimation under mismatch
discretization multihypothesis Gaussian process parameter
2010/9/15
In this paper we develop a new upper bound for the mean square estimation error of a parameter that takes values on a bounded interval. The bound is based on the discretization of the region into a fi...