Results 31 to 40 of about 6,001 (210)
KFAS: Exponential Family State Space Models in R
Journal of Statistical Software, 2017 State space modeling is an efficient and flexible method for statistical inference of a broad class of time series and other data. This paper describes the R package KFAS for state space modeling with the observations from an exponential family, namely ...
Jouni Helske
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Monte Carlo fixed-lag smoothing in state-space models [PDF]
Nonlinear Processes in Geophysics, 2014 This paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-space models defined by a diffusion process observed through noisy discrete-time measurements.
A. Cuzol, E. Mémin
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Variational Bayesian inference of linear state space models
The Journal of Engineering, 2019 This article studies a variational Bayesian method to fix the linear regression (LR) model of which regressors are Gaussian distributed with non-zero prior means, and then apply the method to the linear state space (LSS) model.
Chuanchao Pan +2 more
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On the State-Space Model of Unawareness
, 2023 working paper, please reference this version in further ...
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Statistical analysis of organelle movement using state-space models
Plant Methods, 2023 Background Organelle motility is essential for the correct cellular function of various eukaryotic cells. In plant cells, chloroplasts move towards the intracellular area irradiated by a weak light to maximise photosynthesis. To initiate this process, an
Haruki Nishio +2 more
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Fad Models with Markov Switching Hetroskedasticity: Decomposing Tehran Stock Exchange Return into Permanent and Transitory Components [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2018 In this paper, the stochastic behavior of Tehran stock exchange return index (TEDPIX) is examined by using unobserved component Markov switching model (UC-MS) during the period 3/27/2010 - 8/3/2015.
Teimour Mohammadi +3 more
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The Illusion of State in State-Space Models
CoRRState-space models (SSMs) have emerged as a potential alternative architecture for building large language models (LLMs) compared to the previously ubiquitous transformer architecture. One theoretical weakness of transformers is that they cannot express certain kinds of sequential computation and state tracking (Merrill & Sabharwal, 2023), which ...
William Merrill +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi +10 more
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Stability margins for generalized fractional two-dimensional state space models [PDF]
Archives of Control SciencesIn this paper, a new class of bidimensional fractional linear systems is considered. The stability radius of the disturbed system is described according to the H ∞ norm.
Souad Salmi, Djillali Bouagada
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Advances in Neural Information Processing Systems 37Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeling problems, the underlying process is inherently modular and it is of interest to have inductive biases that mimic this modular structure.
Jindong Jiang +4 more
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