S. Pandalai
Statistics and Probability · 2014
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 7 citations into it
- Artificial Intelligence — 6 citations into it
Whom S. Pandalai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from S. Pandalai's perspective
Ordered by how strongly the researchers S. Pandalai trusts endorse each paper. Same corpus, a different order for every researcher.
- A process-convolution approach to modelling temperatures in the North Atlantic Ocean
- Space and Space-Time Modeling using Process Convolutions
- Modelling transcriptional regulation using Gaussian Processes
- Parameter estimation for differential equations: a generalized smoothing approach
- Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
- Riemann manifold Langevin and Hamiltonian Monte Carlo methods
- Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities
- Kernels for Vector-Valued Functions: a Review
- Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo (Interface Focus)
- Predicting the output from a complex computer code when fast approximations are available
Their papers
- Mechanistic Hierarchical Gaussian Processes (2014) — 16 citations