Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
Time series
Engineering & Materials Science
Spectral density
Engineering & Materials Science
Recovery
Engineering & Materials Science
Splines
Engineering & Materials Science
Model Comparison
Mathematics
Adaptive filtering
Engineering & Materials Science
Statistics
Engineering & Materials Science
Object recognition
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2018 2020
- 1 Active
Physics Inspired Score for Data-Driven Modeling and Prediction
9/26/18 → 3/23/20
Project: Research project
Data structures
Physics
Research Output 2012 2019
Asymptotically Optimal Prediction for Time-Varying Data Generating Processes
Ding, J., Zhou, J. & Tarokh, V., May 1 2019, In : IEEE Transactions on Information Theory. 65, 5, p. 3034-3067 34 p., 8543249.Research output: Contribution to journal › Article
methodology
Kinetics
entropy
structural change
time series
2
Citations
(Scopus)
Bayesian Model Comparison with the Hyvärinen Score: Computation and Consistency
Shao, S., Jacob, P. E., Ding, J. & Tarokh, V., Jan 1 2019, In : Journal of the American Statistical Association.Research output: Contribution to journal › Article
Model Comparison
Bayesian Model
Bayes Factor
Scoring
Likelihood
Estimation of the evolutionary spectra with application to stationarity test
Xiang, Y., Ding, J. & Tarokh, V., Mar 1 2019, In : IEEE Transactions on Signal Processing. 67, 5, p. 1353-1365 13 p., 8598905.Research output: Contribution to journal › Article
Spectral density
Fourier transforms
Analysis of Multistate Autoregressive Models
Ding, J., Shahrampour, S., Heal, K. & Tarokh, V., May 1 2018, In : IEEE Transactions on Signal Processing. 66, 9, p. 2429-2440 12 p.Research output: Contribution to journal › Article
Time series
Markov processes
Experiments
A Penalized Method for the Predictive Limit of Learning
Ding, J., Diao, E., Zhou, J. & Tarokh, V., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4414-4418 5 p. 8461832. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Learning systems
Logistics
Neural networks