126 related articles for article (PubMed ID: 30680145)
1. Accounting for preferential sampling in species distribution models.
Pennino MG; Paradinas I; Illian JB; Muñoz F; Bellido JM; López-Quílez A; Conesa D
Ecol Evol; 2019 Jan; 9(1):653-663. PubMed ID: 30680145
[TBL] [Abstract][Full Text] [Related]
2. Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data.
Redding DW; Lucas TCD; Blackburn TM; Jones KE
PLoS One; 2017; 12(11):e0187602. PubMed ID: 29190296
[TBL] [Abstract][Full Text] [Related]
3. Bayesian spatial modelling of geostatistical data using INLA and SPDE methods: A case study predicting malaria risk in Mozambique.
Moraga P; Dean C; Inoue J; Morawiecki P; Noureen SR; Wang F
Spat Spatiotemporal Epidemiol; 2021 Nov; 39():100440. PubMed ID: 34774255
[TBL] [Abstract][Full Text] [Related]
4. Preferential sampling and Bayesian geostatistics: Statistical modeling and examples.
Cecconi L; Grisotto L; Catelan D; Lagazio C; Berrocal V; Biggeri A
Stat Methods Med Res; 2016 Aug; 25(4):1224-43. PubMed ID: 27566774
[TBL] [Abstract][Full Text] [Related]
5. Comparison of new computational methods for spatial modelling of malaria.
Wong S; Flegg JA; Golding N; Kandanaarachchi S
Malar J; 2023 Nov; 22(1):356. PubMed ID: 37990242
[TBL] [Abstract][Full Text] [Related]
6. Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models.
Barber X; Conesa D; Lladosa S; López-Quílez A
Geospat Health; 2016 Apr; 11(1):415. PubMed ID: 27087038
[TBL] [Abstract][Full Text] [Related]
7. Spatial modelling of agro-ecologically significant grassland species using the INLA-SPDE approach.
Fichera A; King R; Kath J; Cobon D; Reardon-Smith K
Sci Rep; 2023 Mar; 13(1):4972. PubMed ID: 36973470
[TBL] [Abstract][Full Text] [Related]
8. Validation of presence-only models for conservation planning and the application to whales in a multiple-use marine park.
Smith JN; Kelly N; Renner IW
Ecol Appl; 2021 Jan; 31(1):e02214. PubMed ID: 32761934
[TBL] [Abstract][Full Text] [Related]
9. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
10. Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling.
Grisotto L; Consonni D; Cecconi L; Catelan D; Lagazio C; Bertazzi PA; Baccini M; Biggeri A
Geospat Health; 2016 Apr; 11(1):426. PubMed ID: 27087040
[TBL] [Abstract][Full Text] [Related]
11. Nondetection sampling bias in marked presence-only data.
Hefley TJ; Tyre AJ; Baasch DM; Blankenship EE
Ecol Evol; 2013 Dec; 3(16):5225-36. PubMed ID: 24455151
[TBL] [Abstract][Full Text] [Related]
12. Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular).
Lezama-Ochoa N; Pennino MG; Hall MA; Lopez J; Murua H
Sci Rep; 2020 Nov; 10(1):18822. PubMed ID: 33139744
[TBL] [Abstract][Full Text] [Related]
13. Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).
Foffi G; Pastore A; Piazza F; Temussi PA
Phys Biol; 2013 Aug; 10(4):040301. PubMed ID: 23912807
[TBL] [Abstract][Full Text] [Related]
14. Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental mapping.
Huang J; Malone BP; Minasny B; McBratney AB; Triantafilis J
Sci Total Environ; 2017 Dec; 609():621-632. PubMed ID: 28763659
[TBL] [Abstract][Full Text] [Related]
15. On Extrapolating Past the Range of Observed Data When Making Statistical Predictions in Ecology.
Conn PB; Johnson DS; Boveng PL
PLoS One; 2015; 10(10):e0141416. PubMed ID: 26496358
[TBL] [Abstract][Full Text] [Related]
16. Occupancy modeling species-environment relationships with non-ignorable survey designs.
Irvine KM; Rodhouse TJ; Wright WJ; Olsen AR
Ecol Appl; 2018 Sep; 28(6):1616-1625. PubMed ID: 29802750
[TBL] [Abstract][Full Text] [Related]
17. Flexible modelling of spatial variation in agricultural field trials with the R package INLA.
Selle ML; Steinsland I; Hickey JM; Gorjanc G
Theor Appl Genet; 2019 Dec; 132(12):3277-3293. PubMed ID: 31535162
[TBL] [Abstract][Full Text] [Related]
18. Preferential sampling in veterinary parasitological surveillance.
Cecconi L; Biggeri A; Grisotto L; Berrocal V; Rinaldi L; Musella V; Cringoli G; Catelan D
Geospat Health; 2016 Apr; 11(1):412. PubMed ID: 27087037
[TBL] [Abstract][Full Text] [Related]
19. Bayesian joint models with INLA exploring marine mobile predator-prey and competitor species habitat overlap.
Sadykova D; Scott BE; De Dominicis M; Wakelin SL; Sadykov A; Wolf J
Ecol Evol; 2017 Jul; 7(14):5212-5226. PubMed ID: 29242741
[TBL] [Abstract][Full Text] [Related]
20. The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models.
Flagg K; Hoegh A
J Appl Stat; 2023; 50(5):1128-1151. PubMed ID: 37009597
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
