IEEE Transactions on Pattern Analysis and Machine Intelligence
Mixture Density Estimation Based on Maximum Likelihood and Sequential Test Statistics
Neural Processing Letters
Proceedings of the 32nd conference on Winter simulation
Continuous elliptical and exponential power linear dynamic models
Journal of Multivariate Analysis
Local polynomial fitting in semivarying coefficient model
Journal of Multivariate Analysis
On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing
Joint estimation and decoding of space-time Trellis codes
EURASIP Journal on Applied Signal Processing - Space-time coding and its applications - part I
Some Statistical Methods in Intensive Care Online Monitoring - A Review
ISMDA '00 Proceedings of the First International Symposium on Medical Data Analysis
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Space-varying regression models: specifications and simulation
Computational Statistics & Data Analysis - Special issue: Computational econometrics
Handbook of data mining and knowledge discovery
Estimating a state-space model from point process observations
Neural Computation
Modeling clones evolution through time series
ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)
Fusion of domain knowledge with data for structural learning in object oriented domains
The Journal of Machine Learning Research
Particle filters for mixture models with an unknown number of components
Statistics and Computing
Robust joint channel and noise estimation in Bayesian blind equalizers
Signal Processing
An online-optimized incremental learning framework for video semantic classification
Proceedings of the 12th annual ACM international conference on Multimedia
Multivariate spatial regression models
Journal of Multivariate Analysis
Journal of Multivariate Analysis
Tracking concept drifting with an online-optimized incremental learning framework
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
Bayesian analysis of nonlinear and non-Gaussian state space models via multiple-try sampling methods
Statistics and Computing
ICML '06 Proceedings of the 23rd international conference on Machine learning
Kalman filtering in pairwise Markov trees
Signal Processing
Change Point Problems in Linear Dynamical Systems
The Journal of Machine Learning Research
Environmental time series analysis and forecasting with the Captain toolbox
Environmental Modelling & Software
A Bayesian Decision-Theoretic Dose-Finding Trial
Decision Analysis
Predictive analyses for nonhomogeneous Poisson processes with power law using Bayesian approach
Computational Statistics & Data Analysis
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
Computational Statistics & Data Analysis
Simulation-based sequential analysis of Markov switching stochastic volatility models
Computational Statistics & Data Analysis
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
The Journal of Machine Learning Research
Mann and Ishikawa iterative processes for multivalued mappings in Banach spaces
Computers & Mathematics with Applications
Joint estimation and decoding of space-time trellis codes
EURASIP Journal on Applied Signal Processing
Sequential parameter estimation of time-varying non-Gaussian autoregressive processes
EURASIP Journal on Applied Signal Processing
Multilevel mixture Kalman filter
EURASIP Journal on Applied Signal Processing
Learning and approximate inference in dynamic hierarchical models
Computational Statistics & Data Analysis
Signal extraction and filtering by linear semiparametric methods
Computational Statistics & Data Analysis
Linear dynamic harmonic regression
Computational Statistics & Data Analysis
A Bayesian analysis of moving average processes with time-varying parameters
Computational Statistics & Data Analysis
Suppression and failures in sensor networks: a Bayesian approach
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Audiovisual head orientation estimation with particle filtering in multisensor scenarios
EURASIP Journal on Advances in Signal Processing
Adaptive rejection Metropolis sampling using Lagrange interpolation polynomials of degree 2
Computational Statistics & Data Analysis
Proceedings of the 2007 Summer Computer Simulation Conference
International Journal of Data Mining and Bioinformatics
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
Statistics and Computing
Known Unknowns: Novelty Detection in Condition Monitoring
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Head Orientation Estimation Using Particle Filtering in Multiview Scenarios
Multimodal Technologies for Perception of Humans
Multivariate exponential smoothing: A Bayesian forecast approach based on simulation
Mathematics and Computers in Simulation
Nonlinear Bayesian Filters for Training Recurrent Neural Networks
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Metropolis---Hastings algorithms with adaptive proposals
Statistics and Computing
International Journal of Knowledge Engineering and Soft Data Paradigms
Spatio-temporal models for estimating click-through rate
Proceedings of the 18th international conference on World wide web
Learning nonlinear dynamic models
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Kalman Filters to Generate Customer Behavior Alarms
Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Click-through prediction for news queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Multivariate discount weighted regression and local level models
Computational Statistics & Data Analysis
Multivariate short-term traffic flow forecasting using time-series analysis
IEEE Transactions on Intelligent Transportation Systems
Intelligent acquisition and learning of fluorescence microscope data models
IEEE Transactions on Image Processing
Bayesian inference in non-Gaussian factor analysis
Statistics and Computing
A model for monitoring the condition of young pigs by their drinking behaviour
Computers and Electronics in Agriculture
Modelling the drinking patterns of young pigs using a state space model
Computers and Electronics in Agriculture
Forecasting product sales with dynamic linear mixture models
Forecasting product sales with dynamic linear mixture models
A model of the product lifecycle for sales forecasting
A model of the product lifecycle for sales forecasting
Knowledge representation for stochastic decision processes
Artificial intelligence today
Forecasting high-dimensional data
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
An empirical comparison of methods to support QoS-aware service selection
Proceedings of the 2nd International Workshop on Principles of Engineering Service-Oriented Systems
Sparse seemingly unrelated regression modelling: Applications in finance and econometrics
Computational Statistics & Data Analysis
Fast online learning through offline initialization for time-sensitive recommendation
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Computational Statistics & Data Analysis
A new look at state-space models for neural data
Journal of Computational Neuroscience
Original paper: Detecting oestrus by monitoring sows' visits to a boar
Computers and Electronics in Agriculture
Assessment of nonlinear dynamic models by Kolmogorov-Smirnov statistics
IEEE Transactions on Signal Processing
Analyzing and evaluating product demand interdependencies
Computers in Industry
Generalized spatial dynamic factor models
Computational Statistics & Data Analysis
Estimating Cannibalization Rates for Pioneering Innovations
Marketing Science
Computational Statistics & Data Analysis
Measuring the effectiveness of display advertising: a time series approach
Proceedings of the 20th international conference companion on World wide web
The Evolution of Internal Market Structure
Marketing Science
Computers and Electronics in Agriculture
Winter Simulation Conference
Mining latent sources of causal time series using nonlinear state space modeling
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I
A Dynamic Model of the Effect of Online Communications on Firm Sales
Marketing Science
A dynamic logistic multiple classifier system for online classification
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Computer Methods and Programs in Biomedicine
Variational learning in mixed-state dynamic graphical models
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Approximate learning in complex dynamic Bayesian networks
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Rao-blackwellised particle filtering for dynamic Bayesian networks
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Tradeoffs in constructing and evaluating temporal influence diagrams
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Forecasting sleep apnea with dynamic network models
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Dynamic network models for forecasting
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
A new time series forecasting approach based on bayesian least risk principle
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Computers and Electronics in Agriculture
Partially ordered template-based matching algorithm for financial time series
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Direct fitting of dynamic models using integrated nested Laplace approximations - INLA
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Online modeling of proactive moderation system for auction fraud detection
Proceedings of the 21st international conference on World Wide Web
The marginal likelihood of dynamic mixture models
Computational Statistics & Data Analysis
Bayesian methodology for the analysis of spatial–temporal surveillance data
Statistical Analysis and Data Mining
Statistical Analysis and Data Mining
Modelling the HIV epidemic: A state-space approach
Mathematical and Computer Modelling: An International Journal
Expert Systems with Applications: An International Journal
Measuring dynamic effects of display advertising in the absence of user tracking information
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy
Sequential estimation of mixtures of structured autoregressive models
Computational Statistics & Data Analysis
Dynamic effects of ad impressions on commercial actions in display advertising
Proceedings of the 21st ACM international conference on Information and knowledge management
Restricted Kalman filter applied to dynamic style analysis of actuarial funds
Applied Stochastic Models in Business and Industry
State estimation with partially observed inputs: A unified Kalman filtering approach
Automatica (Journal of IFAC)
Monitoring of anticoagulant therapy applying a dynamic statistical model
Computer Methods and Programs in Biomedicine
Ad impression forecasting for sponsored search
Proceedings of the 22nd international conference on World Wide Web
Chebyshev polynomial Kalman filter
Digital Signal Processing
Bayesian dynamic probit models for the analysis of longitudinal data
Computational Statistics & Data Analysis
Bayesian predictive kernel discriminant analysis
Pattern Recognition Letters
An efficient sampling scheme for dynamic generalized models
Computational Statistics
State space mixed models for binary responses with scale mixture of normal distributions links
Computational Statistics & Data Analysis
Characterising economic trends by Bayesian stochastic model specification search
Computational Statistics & Data Analysis
Mixtures of experts for understanding model discrepancy in dynamic computer models
Computational Statistics & Data Analysis
A New Approach to Forecasting Container Throughput of Guangzhou Port with Domain Knowledge
International Journal of Knowledge and Systems Science
A dynamic linear model with extended skew-normal for the initial distribution of the state parameter
Computational Statistics & Data Analysis
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