Publications

(2020). Worldwide Predictions of Earthquake Casualty Rates with Seismic Intensity Measure and Socioeconomic Data: A Fragility-Based Formulation. Natural Hazards Review.

Project

(2020). Targeting hallmarks of cancer with a food-system--based approach. Nutrition.

Project

(2020). Exact Distributions and Performance of some Two-sample Nonparametric Tests for Circular Data.

(2019). Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration. arXiv preprint arXiv:1911.07049.

Project

(2019). Simulation-based bias correction methods for complex models. Journal of the American Statistical Association.

Project Link

(2019). Predicting fatality rates due to earthquakes accounting for community vulnerability. Earthquake spectra.

(2019). Phase Transition Unbiased Estimation in High Dimensional Settings. arXiv preprint arXiv:1907.11541.

(2019). Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation. Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019).

(2019). Multivariate Signal Modeling With Applications to Inertial Sensor Calibration. IEEE Transactions on Signal Processing.

PDF Link

(2019). Modeling the climate change effects on storm surge with metamodels. 6th International Symposium on Life-Cycle Civil Engineering, IALCCE 2018.

(2019). A simple recipe for making accurate parametric inference in finite sample. arXiv preprint arXiv:1901.06750.

PDF Link

(2019). A Multisignal Wavelet Variance-Based Framework for Inertial Sensor Stochastic Error Modeling. IEEE Transactions on Instrumentation and Measurement.

(2018). Use of a new online calibration platform with applications to inertial sensors. IEEE Aerospace and Electronic Systems Magazine.

(2018). Parametric inference for index functionals. Econometrics.

(2018). On the Properties of Simulation-based Estimators in High Dimensions. arXiv preprint arXiv:1810.04443.

PDF Link

(2018). Is nonmetastatic cutaneous melanoma predictable through genomic biomarkers?. Melanoma research.

(2018). Improved stochastic modelling of low-cost GNSS receivers positioning errors. 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS).

(2018). Construction of dynamically-dependent stochastic error models. 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS).

(2018). An optimal virtual inertial sensor framework using wavelet cross covariance. 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS).

(2018). A two-step computationally efficient procedure for IMU classification and calibration. 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS).

(2017). Parameter Determination of Sensor Stochastic Models under Covariate Dependency.

(2017). An overview of a new sensor calibration platform. 2017 IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace).

(2017). An automatic calibration approach for the stochastic parameters of inertial sensors. 30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017.

(2017). A study of the Allan variance for constant-mean nonstationary processes. IEEE Signal Processing Letters.

PDF Link

(2017). A computationally efficient framework for automatic inertial sensor calibration. IEEE Sensors Journal.

(2017). A computational multivariate-based technique for inertial sensor calibration. 30th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2017.

(2016). Wavelet-based improvements for inertial sensor error modeling. IEEE Transactions on Instrumentation and Measurement.

Link

(2016). Wavelet variance for random fields: an m-estimation framework. arXiv preprint arXiv:1607.05858.

PDF Link

(2016). Use of a publicly available database to determine the impact of diabetes on length of hospital stay for elective orthopedic procedures in California. Population health management.

Link

(2016). Two-step robust estimation of copulae. International Conference on Robust Statistics.

(2016). Theoretical limitations of Allan variance-based regression for time series model estimation. IEEE Signal Processing Letters.

Link

(2016). The gmwm R package: a comprehensive tool for time series analysis from state-space models to robustness. arXiv preprint arXiv:1607.04543.

PDF Link

(2016). On the identifiability of latent models for dependent data. arXiv preprint arXiv:1607.05884.

PDF Link

(2016). Fast and robust parametric estimation for time series and spatial models. arXiv preprint arXiv:1607.05861.

PDF Link

(2016). Discussion on maximum likelihood-based methods for inertial sensor calibration. IEEE Sensors Journal.

Link

(2016). A predictive based regression algorithm for gene network selection. Frontiers in Genetics.

PDF Link

(2015). An example journal article. Journal of Source Themes, 1(1).

PDF Slides

(2015). Automatic identification and calibration of stochastic parameters in inertial sensors. Navigation: Journal of The Institute of Navigation.

PDF Link

(2015). Automatic and computationally efficient method for model selection in inertial sensor calibration. 28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015.

Link

(2015). An inertial sensor calibration platform to estimate and select error models. 2015 International Association of Institutes of Navigation World Congress (IAIN).

(2015). An approach for observing and modeling errors in MEMS-based inertial sensors under vehicle dynamic. IEEE Transactions on Instrumentation and Measurement.

Link

(2015). A prediction divergence criterion for model selection. arXiv preprint arXiv:1511.04485.

PDF Link

(2015). A Paradigmatic Regression Algorithm for Gene Selection Problems. arXiv preprint arXiv:1511.07662.

(2015). A computationally efficient platform for inertial sensor calibration. 28th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS 2015.

Link

(2014). Study of MEMS-based inertial sensors operating in dynamic conditions. 2014 IEEE/ION Position, Location and Navigation Symposium-PLANS 2014.

Link

(2014). Generalized method of wavelet moments for inertial navigation filter design. IEEE Transactions on Aerospace and Electronic Systems.

Link

(2014). Estimation of Time Series Models via Robust Wavelet Variance. Austrian Journal of Statistics.

PDF Link

(2013). Wavelet-variance-based estimation for composite stochastic processes. Journal of the American Statistical Association.

PDF Link

(2013). Robust Estimation of Bivariate Copulas.

(2013). An Algorithm for Automatic Inertial Sensors Calibration: Proceedings of the ION GNSS 2013.

Link

(2012). Fault detection and isolation in multiple MEMS-IMUs configurations. IEEE Transactions on Aerospace and Electronic Systems.

Link

(2012). A framework for inertial sensor calibration using complex stochastic error models. Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.

Link

(2011). Improving modeling of MEMS-IMUs operating in GNSS-denied conditions.

Link

(2011). Constrained expectation-maximization algorithm for stochastic inertial error modeling: Study of feasibility. Measurement Science and Technology.

Link

(2010). Noise reduction and estimation in multiple micro-electro-mechanical inertial systems. Measurement Science and Technology.

PDF Link

(2010). EuroCow, the Calibration and Orientation Workshop (Euro-pean Spatial Data Research).

(2009). Improving accuracy with multiple sensors: Study of redundant MEMS-IMU/GPS configurations. Proceedings of the 22nd international technical meeting of the Satellite Division of the Institute of Navigation (ION GNSS 2009).

Link

(2008). Redundant MEMS-IMU integrated with GPS for performance assessment in sports. 2008 IEEE/ION Position, Location and Navigation Symposium.

Link