Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Warped Gaussian Processes in Remote Sensing Parameter Estimation and
  Causal Inference   This paper introduces warped Gaussian processes (WGP) regression in remote
sensing applications. WGP models output observations as a parametric nonlinear
transformation of a GP. The parameters of such prior model are then learned via
standard maximum likelihood. We show the good performance of the proposed model
for the estimation of oceanic chlorophyll content from multispectral data,
vegetation parameters (chlorophyll, leaf area index, and fractional vegetation
cover) from hyperspectral data, and in the detection of the causal direction in
a collection of 28 bivariate geoscience and remote sensing causal problems. The
model consistently performs better than the standard GP and the more advanced
heteroscedastic GP model, both in terms of accuracy and more sensible
confidence intervals.

10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
16
The categories of this paper are: stat
30
The categories of this paper are: q-alg
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
18
The categories of this paper are: econ
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin