These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 35265456)

  • 1. Modeling Massive Spatial Datasets Using a Conjugate Bayesian Linear Modeling Framework.
    Banerjee S
    Spat Stat; 2020 Jun; 37():. PubMed ID: 35265456
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Practical Bayesian Modeling and Inference for Massive Spatial Datasets On Modest Computing Environments.
    Zhang L; Datta A; Banerjee S
    Stat Anal Data Min; 2019 Jun; 12(3):197-209. PubMed ID: 33868538
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets.
    Datta A; Banerjee S; Finley AO; Gelfand AE
    J Am Stat Assoc; 2016; 111(514):800-812. PubMed ID: 29720777
    [TBL] [Abstract][Full Text] [Related]  

  • 4. High-Dimensional Bayesian Geostatistics.
    Banerjee S
    Bayesian Anal; 2017 Jun; 12(2):583-614. PubMed ID: 29391920
    [TBL] [Abstract][Full Text] [Related]  

  • 5. On nearest-neighbor Gaussian process models for massive spatial data.
    Datta A; Banerjee S; Finley AO; Gelfand AE
    Wiley Interdiscip Rev Comput Stat; 2016; 8(5):162-171. PubMed ID: 29657666
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets.
    Guhaniyogi R; Banerjee S
    Technometrics; 2018; 60(4):430-444. PubMed ID: 31007296
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Spatial factor modeling: A Bayesian matrix-normal approach for misaligned data.
    Zhang L; Banerjee S
    Biometrics; 2022 Jun; 78(2):560-573. PubMed ID: 33704776
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Bayesian Spatial Modeling for Housing Data in South Africa.
    Wang B; Banerjee S; Gupta R
    Sankhya B (2008); 2021 Nov; 83(Suppl 2):395-414. PubMed ID: 35463799
    [TBL] [Abstract][Full Text] [Related]  

  • 9. NONSEPARABLE DYNAMIC NEAREST NEIGHBOR GAUSSIAN PROCESS MODELS FOR LARGE SPATIO-TEMPORAL DATA WITH AN APPLICATION TO PARTICULATE MATTER ANALYSIS.
    Datta A; Banerjee S; Finley AO; Hamm NAS; Schaap M
    Ann Appl Stat; 2016 Sep; 10(3):1286-1316. PubMed ID: 29657659
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian Modeling and Analysis of Geostatistical Data.
    Gelfand AE; Banerjee S
    Annu Rev Stat Appl; 2017 Mar; 4():245-266. PubMed ID: 29392155
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Computationally efficient joint species distribution modeling of big spatial data.
    Tikhonov G; Duan L; Abrego N; Newell G; White M; Dunson D; Ovaskainen O
    Ecology; 2020 Feb; 101(2):e02929. PubMed ID: 31725922
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Pseudo-Marginal Bayesian Inference for Gaussian Processes.
    Filippone M; Girolami M
    IEEE Trans Pattern Anal Mach Intell; 2014 Nov; 36(11):2214-26. PubMed ID: 26353062
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improving the performance of predictive process modeling for large datasets.
    Finley AO; Sang H; Banerjee S; Gelfand AE
    Comput Stat Data Anal; 2009 Jun; 53(8):2873-2884. PubMed ID: 20016667
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Assessment and statistical modeling of the relationship between remotely sensed aerosol optical depth and PM2.5 in the eastern United States.
    Paciorek CJ; Liu Y;
    Res Rep Health Eff Inst; 2012 May; (167):5-83; discussion 85-91. PubMed ID: 22838153
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Hierarchical factor models for large spatially misaligned data: a low-rank predictive process approach.
    Ren Q; Banerjee S
    Biometrics; 2013 Mar; 69(1):19-30. PubMed ID: 23379832
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving Bayesian radiological profiling of waste drums using Dirichlet priors, Gaussian process priors, and hierarchical modeling.
    Laloy E; Rogiers B; Bielen A; Borella A; Boden S
    Appl Radiat Isot; 2023 Apr; 194():110691. PubMed ID: 36716689
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Bayesian nonparametric approach for uncovering rat hippocampal population codes during spatial navigation.
    Linderman SW; Johnson MJ; Wilson MA; Chen Z
    J Neurosci Methods; 2016 Apr; 263():36-47. PubMed ID: 26854398
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fast Bayesian whole-brain fMRI analysis with spatial 3D priors.
    Sidén P; Eklund A; Bolin D; Villani M
    Neuroimage; 2017 Feb; 146():211-225. PubMed ID: 27876654
    [TBL] [Abstract][Full Text] [Related]  

  • 19. TOWARD BAYESIAN INFERENCE OF THE SPATIAL DISTRIBUTION OF PROTEINS FROM THREE-CUBE FÖRSTER RESONANCE ENERGY TRANSFER DATA.
    Hooghoudt JO; Barroso M; Waagepetersen R
    Ann Appl Stat; 2017 Sep; 11(3):1711-1737. PubMed ID: 29861820
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets.
    Finley AO; Banerjee S; Waldmann P; Ericsson T
    Biometrics; 2009 Jun; 65(2):441-51. PubMed ID: 18759829
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.