Environmental statistics -- development and application of statistical methods to environmental science
Functional Data Analysis -- statistical analysis of data samples consisting of random functions or surfaces
Data mining methods -- analysis of observational data to find unsuspected relationships
Nonparametric regression -- regression analysis in which the model does not take a parametric form but rather a non-parametric form driven by
the data.
Interested in conducting research?
If you think you might be interested conducting research or have an interesting dataset you would like to study, contact me to get more information. Currently, the
following funding is available:
CREST fellowship. Other sources of funding may also be available.
Publications and Works in Progress
Publications
Montoya, E.L., (2020). "On the Number of Independent Pieces of Information in a Functional Linear Model with a Scalar Response", Stats, 3(4), 510-525.
Montoya, E.L., (2018). "Investigating the underlying structure of particulate matter concentrations: A functional exploratory data analysis study using California monitoring data", Commun. Stat. Appl. Methods., 25(6), 30"42.
Abu-Lughod, R.A., and Montoya, E.L. (2016). "Altruistic and Anomic Suicide: A Durkheimian Analysis of Palestinian Suicide Bombers", J. Politics Law, 9(4), 30-42.
Montoya, E.L., and Meiring, W. (2016) "An F-type test for detecting departure from monotonicity in a functional linear model", J. Nonparm. Stat., 28(2), 322-337.
Awerbuck, M., Matusov, Y., Montoya, E., Lee, J., Aldaw, R., Wright, R., and Pearlman, J. (2015) "Venous Thromboembolism Risk Assessment at a Community Hospital: Adherence to ACCP Guidelines and Cost of Inappropriate Prophylaxis", Chest, 148(4), 495A-495B.
Montoya, E. L., Dozier, J., and Meiring, W. (2014). "Biases of April 1 snow water equivalent records in the Sierra Nevada and their associations with large-scale climate indices", Geopyhs. Res. Lett., 41(16), 5912-5918.
Montoya, E.L., Ulloa, N., and V. Miller. (2014). "A simulation study comparing knot selection methods with equally spaced knots in a penalized regression spline", Int. J. Stat. Probabil. 3 (3), 96-110.
Montoya, E.L., and Meiring, W. (2013). "On the relative efficiency of a monotone parameter curve estimator in a functional nonlinear model", Stat. Comput. 23(3), 425-436.
Montoya, E.L., and Meiring, W. (2011). "A Nonlinear Mixed Effects Model Approach to Monotonically Constrain the Parameter Curve in a Functional Nonlinear Model", In P AM STAT ASSOC - STAT COMPUT, Alexandria, VA: American Statistical Association: 5400-5403
Works in Progress
Montoya, E.L. "More efficient smoothing parameter selection for regularized functional principal component using generalized degrees of freedom" (working title)
Montoya, E.L. "A simple and computationally efficient test for monotonic association in a functional linear model" (working title)
Montoya, E.L., W. Meiring, and Dozier, J."Quantifying the Variation in the Annual Progression of Snow Accumulation and Melt in the Sierra Nevada: A Functional Data Analysis Approach." (working title)