#statespacemodel search results
📢 Read our Review Paper 📚 A Survey on Visual Mamba 🔗 mdpi.com/2076-3417/14/1… 👨🔬 by Hanwei Zhang et al. #computervision #statespacemodel
The OxCSML last HT seminar is this Friday. 📕Online parameter & state estimation in state space models 🎙️Speaker: Mathieu Gerber (@BristolUni) 📆Date: Fri 8th March '24 ⌚Time: 2pm – 3pm 📍Location: Large Lecture Theatre, Dept. of Stats & Zoom #stateestimation #statespacemodel
Pygmy blue whale research talk by Luciana Möller: Behaviour, Movements and Occupancy Patterns of Blue Whales Satellite Tagged in Southern Australian Waters @IanJonsen @KBilgmann #statespacemodel @AMSAconf
Impressive modelling work by #SebastiaCabanellas in his MSc Thesis at the @fishecology_ @IMEDEA_UIB_CSIC! We found no effect of boat noise in the movement of a coastal benthic fish using #statespacemodel, transition covariates and acoustic tracking data! congrats
When teaching numerical methods to solve higher order/coupled ODEs, go for the state space model and use Euler’s method first, not Runge-Kutta method. Reinforces pragmatism of the state space model for a general case. #NumericalMethods #ODEs #statespacemodel
Are SSMs, hype, or is the real hype in the Fast Fourier Transform #ai #fourier #statespacemodel #deeplearning
#Bayesian + #StateSpaceModel #timeseries + #DynamicTimeWarping #MachineLearning #StatisticalInference
Great #R post by Kim Larsen at #StitchFix: "Making #CausalImpact Analysis Easy" multithreaded.stitchfix.com/blog/2016/01/1…
I would prioritize on method development than application. In that regard, #dynamic and #latentspace / #statespacemodel would be the two factors, makes a system interesting for me to study. Also, make sure to go after finding the right problem to crack than the right data set !
A new state space model called Mamba is challenging the dominance of Transformers in natural language processing, promising improved performance and efficiency. #Mamba #StateSpaceModel #NLP bit.ly/4c3Chsb
a review of #StateSpaceModel (SSM) in #Ecology a 71-pages preprint including R code to fit and validate SSM #rstat #modelling
A 71-page pre-print, "A guide to state-space modeling of ecological time series" arxiv.org/pdf/2002.02001…
The #KalmanFilter and the underlying model, the #StateSpaceModel, share an identical graphical framework with the #HMM, only the states of #KF are continuous, vector-valued nodes with a Gaussian distr, which are different from the #HMM. cs.cmu.edu/~lebanon/pub/b… #readingOfTheDay
We use the joint prob of the #HMM, the product of the local conditional probs p(y_t|q_t) and the state transition probs π:q_0, a:q_t→q_t+1, to compute #filtering p(q_t|y_0...y_t), #prediction p(q_t|y_0...y_s) where t>s and #smoothing p(q_t|y_0...y_u) where t<u. #readingOfTheDay
New #discussionpaper by Bundesbank #researchcentre: A flexible state-space model with lagged states and lagged dependent variables: Simulation smoothing bundesbank.de/content/795918 #statespacemodel @kielinstitute
🔓 #OpenAccess The Price-Rent ratio inequality in Scottish Cities: Fluctuations in discount rates and expected rent growth ➡️ buff.ly/3CD4fbI @UoDBusiness @ISSRDundee @DoorujR #StateSpaceModel #PresentValue #ScottishCities #Rent #HousingMarkets #PriceToRentRatio
Unveiling the full state-space model of Phase-locked loops! Discover how this non-reductionist approach enhances understanding of synchronization and noise in communication tech. 📡🔍 #PhaseLockedLoop #CommunicationTech #StateSpaceModel qeios.com/read/JH7HZZ
qeios.com
Modeling and Analysis of Phase-locked loops: a non reductionist approach
Phase-locked loop (PLL), conceived in 1932 by H. Bellescize, has been the basic electronic component in the development of communication technology from the early analog radio receptors to modern...
#languagemodel #statespacemodel #sequencetosequence Stanford & Buffalo U Advance Language Modelling with State Space Models: State space models (SSMs) designed for modelling dynamic systems have achieved outstanding sequence-to-sequence performance in… dlvr.it/SgL9gD
Instead of approximating the posterior as a Gaussian when filtering the #StateSpaceModel, we can use #particleFiltering, AKA #sequentialImportantSampling & #sequentialMonteCarlo, to approximate the state by a set of weighted samples. ibug.doc.ic.ac.uk/media/uploads/… p.85 #readingOfTheDay
Since #KalmanFilter assumes the dynamic system is jointly Gaussian (unimodal) and linear, it fails when the system has multiple modes (regimes of behavior) or nonlinear dynamics. #Switching & #extendedKF may be used in such cases. ibug.doc.ic.ac.uk/media/uploads/… #readingOfTheDay
New #discussionpaper by Bundesbank #researchcentre: A flexible state-space model with lagged states and lagged dependent variables: Simulation smoothing bundesbank.de/content/795918 #statespacemodel @kielinstitute
📢 Read our Review Paper 📚 A Survey on Visual Mamba 🔗 mdpi.com/2076-3417/14/1… 👨🔬 by Hanwei Zhang et al. #computervision #statespacemodel
Unveiling the full state-space model of Phase-locked loops! Discover how this non-reductionist approach enhances understanding of synchronization and noise in communication tech. 📡🔍 #PhaseLockedLoop #CommunicationTech #StateSpaceModel qeios.com/read/JH7HZZ
qeios.com
Modeling and Analysis of Phase-locked loops: a non reductionist approach
Phase-locked loop (PLL), conceived in 1932 by H. Bellescize, has been the basic electronic component in the development of communication technology from the early analog radio receptors to modern...
The OxCSML last HT seminar is this Friday. 📕Online parameter & state estimation in state space models 🎙️Speaker: Mathieu Gerber (@BristolUni) 📆Date: Fri 8th March '24 ⌚Time: 2pm – 3pm 📍Location: Large Lecture Theatre, Dept. of Stats & Zoom #stateestimation #statespacemodel
A new state space model called Mamba is challenging the dominance of Transformers in natural language processing, promising improved performance and efficiency. #Mamba #StateSpaceModel #NLP bit.ly/4c3Chsb
Are SSMs, hype, or is the real hype in the Fast Fourier Transform #ai #fourier #statespacemodel #deeplearning
#languagemodel #statespacemodel #sequencetosequence Stanford & Buffalo U Advance Language Modelling with State Space Models: State space models (SSMs) designed for modelling dynamic systems have achieved outstanding sequence-to-sequence performance in… dlvr.it/SgL9gD
When teaching numerical methods to solve higher order/coupled ODEs, go for the state space model and use Euler’s method first, not Runge-Kutta method. Reinforces pragmatism of the state space model for a general case. #NumericalMethods #ODEs #statespacemodel
a review of #StateSpaceModel (SSM) in #Ecology a 71-pages preprint including R code to fit and validate SSM #rstat #modelling
A 71-page pre-print, "A guide to state-space modeling of ecological time series" arxiv.org/pdf/2002.02001…
I would prioritize on method development than application. In that regard, #dynamic and #latentspace / #statespacemodel would be the two factors, makes a system interesting for me to study. Also, make sure to go after finding the right problem to crack than the right data set !
Instead of approximating the posterior as a Gaussian when filtering the #StateSpaceModel, we can use #particleFiltering, AKA #sequentialImportantSampling & #sequentialMonteCarlo, to approximate the state by a set of weighted samples. ibug.doc.ic.ac.uk/media/uploads/… p.85 #readingOfTheDay
Since #KalmanFilter assumes the dynamic system is jointly Gaussian (unimodal) and linear, it fails when the system has multiple modes (regimes of behavior) or nonlinear dynamics. #Switching & #extendedKF may be used in such cases. ibug.doc.ic.ac.uk/media/uploads/… #readingOfTheDay
The #KalmanFilter and the underlying model, the #StateSpaceModel, share an identical graphical framework with the #HMM, only the states of #KF are continuous, vector-valued nodes with a Gaussian distr, which are different from the #HMM. cs.cmu.edu/~lebanon/pub/b… #readingOfTheDay
We use the joint prob of the #HMM, the product of the local conditional probs p(y_t|q_t) and the state transition probs π:q_0, a:q_t→q_t+1, to compute #filtering p(q_t|y_0...y_t), #prediction p(q_t|y_0...y_s) where t>s and #smoothing p(q_t|y_0...y_u) where t<u. #readingOfTheDay
Impressive modelling work by #SebastiaCabanellas in his MSc Thesis at the @fishecology_ @IMEDEA_UIB_CSIC! We found no effect of boat noise in the movement of a coastal benthic fish using #statespacemodel, transition covariates and acoustic tracking data! congrats
The OxCSML last HT seminar is this Friday. 📕Online parameter & state estimation in state space models 🎙️Speaker: Mathieu Gerber (@BristolUni) 📆Date: Fri 8th March '24 ⌚Time: 2pm – 3pm 📍Location: Large Lecture Theatre, Dept. of Stats & Zoom #stateestimation #statespacemodel
📢 Read our Review Paper 📚 A Survey on Visual Mamba 🔗 mdpi.com/2076-3417/14/1… 👨🔬 by Hanwei Zhang et al. #computervision #statespacemodel
Pygmy blue whale research talk by Luciana Möller: Behaviour, Movements and Occupancy Patterns of Blue Whales Satellite Tagged in Southern Australian Waters @IanJonsen @KBilgmann #statespacemodel @AMSAconf
Impressive modelling work by #SebastiaCabanellas in his MSc Thesis at the @fishecology_ @IMEDEA_UIB_CSIC! We found no effect of boat noise in the movement of a coastal benthic fish using #statespacemodel, transition covariates and acoustic tracking data! congrats
The #KalmanFilter and the underlying model, the #StateSpaceModel, share an identical graphical framework with the #HMM, only the states of #KF are continuous, vector-valued nodes with a Gaussian distr, which are different from the #HMM. cs.cmu.edu/~lebanon/pub/b… #readingOfTheDay
We use the joint prob of the #HMM, the product of the local conditional probs p(y_t|q_t) and the state transition probs π:q_0, a:q_t→q_t+1, to compute #filtering p(q_t|y_0...y_t), #prediction p(q_t|y_0...y_s) where t>s and #smoothing p(q_t|y_0...y_u) where t<u. #readingOfTheDay
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