scientific article; zbMATH DE number 7274968
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Publication:5134553
zbMath1446.92143MaRDI QIDQ5134553
Shinsuke Koyama, Liam Paninski
Publication date: 17 November 2020
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Cites Work
- On Kalman filtering, posterior mode estimation and Fisher scoring in dynamic exponential family regression
- Multivariate statistical modelling based on generalized linear models. With contributions by Wolfgang Hennevogl
- The most likely voltage path and large deviations approximations for integrate-and-fire neurons
- Model-Based Decoding, Information Estimation, and Change-Point Detection Techniques for Multineuron Spike Trains
- Efficient Markov Chain Monte Carlo Methods for Decoding Neural Spike Trains
- The Spike-Triggered Average of the Integrate-and-Fire Cell Driven by Gaussian White Noise
- State-Space Models: From the EM Algorithm to a Gradient Approach
- Phase transitions in the estimation of event rate: a path integral analysis
- Monte Carlo Estimation for Nonlinear Non-Gaussian State Space Models
- Dynamic Generalized Linear Models and Bayesian Forecasting
- The Iterated Kalman Smoother as a Gauss–Newton Method
- Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Encoding Model
- Fully Exponential Laplace Approximations to Expectations and Variances of Nonpositive Functions
- Estimating a State-Space Model from Point Process Observations
- Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering
- Empirical Bayes interpretations of random point events
- Block matrices with L-block-banded inverse: inversion algorithms
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- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
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