Statistical Models based on Point Process Networks
| Project/Area Number |
23650144
|
|---|
| Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Statistical science
|
|---|
| Research Institution | The University of Tokyo |
|---|
Principal Investigator |
KOMAKI Fumiyasu 東京大学, 情報理工学(系)研究科, 教授 (70242039)
|
|---|
| Project Period (FY) |
2011-04-28 – 2015-03-31
|
| Project Status |
Completed (Fiscal Year 2014)
|
| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
|
|---|
| Keywords | 点過程 / ベイズ統計 |
|---|
| Outline of Final Research Achievements |
A class of probabilistic input-output systems with a point process output are introduced. Statistical models useful for simulation and analysis concerning various phenomena such as neuronal firing are constructed by combining the input-output systems. A method based on shrinkage priors for simultaneous prediction and estimation for multivariate Poisson models are proposed.
|
Report
(5 results)
Research Products
(10 results)
