Spatially Correlated Model Selection Method - Ciro Velasco-Cruz,Scotland Leman,Eric Smith
-25% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
A variable selection method for spatial data is presented. It is assumed that the spatial process is non-stationary as a whole but is piece-wise stationary. The pieces where the spatial process is stationary are called regions. The variable selection approach accounts for two sources of correlation: (1) the spatial correlation of the data within the regions, and (2) the correlation of adjacent regions. The ... Täydellinen kuvaus
Saatat myös pitää
TOP
Determined: The Science of Life Without Free Will
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Rise and Fall of the Dinosaurs: A New History of a Lost World
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Factfulness: Ten Reasons We're Wrong About the World--and Why Things Are Better Than You Think
Ola Rosling, Anna Rosling Rönnlund, Hans Rosling
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Biology: A Global Approach, Global Edition
Neil Campbell, Rebecca Orr, Lisa Urry, Peter Minorsky, Michael Cain, Jane Reece, Steven Wasserman
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Six Not-so-easy Pieces: Einstein's Relativity, Symmetry, and Space-Time
Richard P. Feynman, Robert B. Leighton, Matthew Sands
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Entangled Life: How Fungi Make Our Worlds, Change Our Minds and Shape Our Futures
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Light Eaters: How the Unseen World of Plant Intelligence Offers a New Understanding of Life on Earth
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Age of Alchemy: How Early Innovators Shaped Modern Chemistry
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Secrets of our DNA: How Genetics has Changed the World
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Janeway's Immunobiology
Leslie J. Berg, Kenneth Murphy, Casey Weaver
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Behave: The Biology of Humans at Our Best and Worst
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Why We Sleep: Unlocking the Power of Sleep and Dreams
-25% koodilla BOOKS
Varastossa
TOP
Why Machines Learn: The Elegant Maths Behind Modern AI
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Life As No One Knows It: The Physics of Life's Emergence
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Rise and Reign of the Mammals: A New History, from the Shadow of the Dinosaurs to Us
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
Learn Faster, Perform Better: A Musician's Guide to the Neuroscience of Practicing
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
The Brain That Changes Itself: Stories of Personal Triumph from the Frontiers of Brain Science
-25% koodilla BOOKS
Toimittajalla varastossa
TOP
How to Solve it: A New Aspect of Mathematical Method
-25% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
A variable selection method for spatial data is presented. It is assumed that the spatial process is non-stationary as a whole but is piece-wise stationary. The pieces where the spatial process is stationary are called regions. The variable selection approach accounts for two sources of correlation: (1) the spatial correlation of the data within the regions, and (2) the correlation of adjacent regions. The variable selection is carried out by including indicator variables that characterize the significance of the regression coefficients. The Ising distribution as prior for the vector of indicator variables, models the dependence of adjacent regions. We present a case study on brook trout data where the response of interest is the pres- ence/absence of the fish at sites in the eastern United States. We find that the method outperforms the case of the probit regression where the spatial field is assumed stationary and isotropic. Additionally, the method outperformed the case where multiple regions are assumed independent of their neighbors.
Lisätietoja
| Kirjoittaja | Ciro Velasco-Cruz, Scotland Leman, Eric Smith |
|---|---|
| Julkaisija | LAP LAMBERT Academic Publishing |
| Julkaisuvuosi | 2017 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783330344495 |