[Program]

28-29July 2014: STM2014
30-31July 2014: CSM2014

(*) Please notice that we have a slight change in the program on 30th and 31th July.

(*) We will keep the starting time of each session. However, within each session, we will continuously proceed with the program even when each talk would be shorter than that planned.

Session	Monday	Tuesday	Wednesday	Thursday
Morning	Modern State Space Models and Estimation	Long Range Percolation and Network Connectivity	Monte Carlo Methods in High Dimensions: MCMC, SMC and SMCMC	Understanding Non-Gaussian System Structure: Heavy Tailed Processes I
Afternoon1	Tensor and Sparse Modeling Structures	New Perspectives on Particle Markov chain Monte Carlo/ Panel Discussions on Dynamic Process Modeling	Panel Discussions on Estimation Challenges in Big Data	Understanding Non-Gaussian System Structure: Heavy Tailed Processes II
Afternoon2	Temporal / Frequency Domain Modeling and Application	Spatial Processes	Understanding Dependence in Complex Systems: Copula Models and Dependence Structures	Modeling Complex Systems via Non-Parametric Bayesian Statistics

Morning/Afternoon sessions: Conference Room 1 (2F)

STM2014:

July 28^th (Monday)

9:00- 9:10

Opening remarks

Tomoko Matsui

9:10-10:40

Random Set Methods and Spatial Filtering

Pierre Del Moral

10:40-11:10

Spatial Inference on Wireless Sensor Networks

Ido Nevat

Coffee Break
11:30-12:30	Multiresolution Log Gaussian Cox Point Processes	Daichi Mochihashi

Lunch and Discussion

14:00-15:00

Monte Carlo Filter with Kernel Mean Embedding

Kenji Fukumizu

15:00-16:00

Risk Bounds of Convex and Bayes Tensor Estimators: Near Optimal Rate without Strong Convexity

Taiji Suzuki

Coffee Break

16:30-17:30

Bayesian Nonparametric Information Processing

Jen-Tzung Chien

17:30-18:00

Monte Carlo Dynamic Classifier (MCDC) Tool

Tomoko Matsui

18:00-21:00

Dinner and Discussion

July 29^th (Tuesday)

9:30-11:00	Networks, Random Graphs and Percolation	Mario Wüthrich
11:00-12:00	Connectivity and Localization in Wireless Sensor Networks	Francois Septier
Lunch and Discussion
13:30-14:30	New Insights on Paricle Methods and MCMC	Pierre Del Moral
14:30-15:30	Workshop Session 1: Panel Discussions on Dynamic Process Modeling MC: Gareth W. Peters	Panel: Konstantin Markov Tomoko Matsui Daichi Mochihashi Pierre Del Moral Francois Septier
Coffee Break
16:00-17:15	Modeling of Temporal and Spatial Non-Homogeneity for Space-Time Earthquake Databases	Yosihiko Ogata
17:15-18:00	Spatial Field Reconstruction and Level Sets/Quantiles	Ido Nevat
18:00-18:30	Temporal Speech Emotion Recognition Using Gaussian Process State Space Models	Konstantin Markov
18:30-21:30	Dinner and Discussion

CSM2014:

July 30^th (Wednesday)

9:30-11:00	Efficient Implementation of MCMC When Using An Unbiased Likelihood Estimator (video lecture)	Arnaud Doucet
11:00-12:00	Sequential Monte-Calro Samplers for Bayesian Inference in Complex Systems	Francois Septier
Lunch and Discussion
14:00-15:30	Workshop Session 2: Panel Discussions on Estimation Challenges in Big Data MC: Gareth Peters	Panel: Konstantin Markov Kazuya Takeda Nourddine Azzaoui Jen-Tzung Chien Mario Wuthrich Ido Nevat Daniel P. Palomar
Coffee Break
16:00-18:00	Bi-measures, Spectral-measures and Other Characterizations for Heavy Tail Processes	Nourddine Azzaoui
18:00-21:00	Dinner and Discussio

July 31^st (Thursday)

9:00-11:00	Dependence Modeling and Copulas	Gareth Peters
11:00-12:00	Dependence Modeling for Spatial Channel Estimation	Tor Andre Myrvol
Lunch and Discussion
13:30-14:30	Robust Estimation of Mean and Covariance Matrix for Heavy-Tail Distributions and Outliers	Daniel Palomar
14:30-15:00	Fusion of Multi-modal Features in Particle Filter with Dual Weight of Belief and Plausibility for Track-Before-Detect Multiple Target Tracking	Norikazu Ikoma
Closing Remarks