The following pages link to Abhirup Datta (Q380795):
Displaying 35 items.
- Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes (Q104464) (← links)
- The fractional-order differential equation model of psoriatic pathogenesis: a mathematical study (Q380797) (← links)
- Bayesian high-dimensional regression for change point analysis (Q667492) (← links)
- CoCoLasso for high-dimensional error-in-variables regression (Q682285) (← links)
- Size estimation of key populations in the HIV epidemic in eSwatini using incomplete and misaligned capture-recapture data (Q2044248) (← links)
- A case study competition among methods for analyzing large spatial data (Q2272997) (← links)
- Spatial disease mapping using directed acyclic graph auto-regressive (DAGAR) models (Q2290712) (← links)
- Fractional-order model of the disease psoriasis: a control based mathematical approach (Q2400073) (← links)
- Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis (Q2403061) (← links)
- Effect of drug adherence on the plaque of Psoriasis: an impulsive drug therapeutic approach (Q2834071) (← links)
- Negative feedback control may regulate cytokines effect during growth of keratinocytes in the chronic plaque of psoriasis: a mathematical study (Q2869614) (← links)
- Saturation effects on immunopathogenic mechanism of psoriasis: a theoretical approach (Q2885839) (← links)
- (Q3195568) (← links)
- Mathematical Models for Therapeutic Approaches to Control Psoriasis (Q4967689) (← links)
- Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments<sup>†</sup> (Q4970245) (← links)
- (Q4979961) (← links)
- Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping (Q5226629) (← links)
- (Q5255447) (← links)
- (Q5407425) (← links)
- (Q5500992) (← links)
- (Q5738274) (← links)
- Graphical Gaussian process models for highly multivariate spatial data (Q5872846) (← links)
- Discussion of ``Saving storage in climate ensembles: a model-based stochastic approach'' (Q6050908) (← links)
- A transformation‐free linear regression for compositional outcomes and predictors (Q6055627) (← links)
- Random Forests for Spatially Dependent Data (Q6107238) (← links)
- Generalized Bayes Quantification Learning under Dataset Shift (Q6110729) (← links)
- A dynamic spatial filtering approach to mitigate underestimation bias in field calibrated low-cost sensor air pollution data (Q6138622) (← links)
- BRISC: bootstrap for rapid inference on spatial covariances (Q6541456) (← links)
- Direct Bayesian linear regression for distribution-valued covariates (Q6597261) (← links)
- Nearest-neighbor sparse Cholesky matrices in spatial statistics (Q6602373) (← links)
- On nearest-neighbor Gaussian process models for massive spatial data (Q6604489) (← links)
- An illustration of model agnostic explainability methods applied to environmental data (Q6626539) (← links)
- Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping (Q6628615) (← links)
- A Note on Cross-Validation for Lasso Under Measurement Errors (Q6636575) (← links)
- Dataset for 'First detection of equatorial plasma bubbles using NavIC' (Q6720226) (← links)
