Publications

Preprints

Accurate Inference for Penalized Logistic Regression
Bioequivalence Assessment for Locally Acting Drugs: A Framework for Feasible and Efficient Evaluation
Bias Correction for Semiparametric Regression Models
Equivalence Testing Under Privacy Constraints
Multiple Autocovariance Change-points Problems in High-dimensional Time Series
Non-Asymptotic Analysis of Median-of-Means Estimations for High-Dimensional Time Series
Bridging the Gap Between Experimental Burden and Statistical Power for Quantiles Equivalence Testing
Global p-Values in Multi-Design Studies
Towards Open Science: Monitoring Crustal Deformations in North America
An Accurate Percentile Method for Parametric Inference Based on Asymptotically Biased Estimators
Just Identified Indirect Inference Estimator: Accurate Inference through Bias Correction

2025

Transcription Factor Switching Drives Subtype-Specific Pancreatic Cancer
Nature Genetics
Generalization of Point-to-Point Matching for Rigorous Optimization in Kinematic Laser Scanning
ISPRS Journal of Photogrammetry and Remote Sensing
Multivariate Adjustments for Average Equivalence Testing
Statistics in Medicine
Evaluation of peanut tolerance in sensitized mice through intradermal allergen delivery with adjuvants
International Journal of Pharmaceutics
Unveiling Empathy Determinants Across Borders: A Comparative Analysis of Medical Students from two geo-sociocultural Backgrounds
BMC Medical Education

2024

Assessing COVID-19 Prevalence in Austria with Infection Surveys and Case Count Data as Auxiliary Information
Journal of the American Statistical Association · Reproducibility Award
Finite Sample Corrections for Average Equivalence Testing
Statistics in Medicine
Accounting for Vibration Noise in Stochastic Measurement Errors of Inertial Sensors
IEEE Transactions on Signal Processing
Dermobile: A cost‐effective Portable Device for Erythema Evaluation
Skin Research and Technology
Estimation and Uncertainty Quantification of Magma Interaction Times Using Statistical Emulation
Volcanica
Line-field confocal optical coherence tomography coupled with artificial intelligence algorithms as tool to investigate wound healing: A prospective, randomized, single-blinded pilot study
Journal of the European Academy of Dermatology and Venereology
Patient-Perceived Impact of the COVID-19 Pandemic on Medication Adherence and Access to Care for Long-Term Diseases: A Cross-Sectional Online Survey
COVID
The Maternal-Fetal Neurodevelopmental Groundings of Preterm Birth Risk
Heliyon

2023

Multi-Signal Approaches for Repeated Sampling Schemes in Inertial Sensor Calibration
IEEE Transactions on Signal Processing
The Generalized Method of Wavelet Moments with eXogenous inputs: a fast approach for the analysis of GNSS position time series
Journal of Geodesy
A Penalized Two-pass Regression to Predict Stock Returns with Time-Varying Risk Premia
Journal of Econometrics
Dynamics of Career Intentions in a Medical Student Cohort: a Four-year Longitudinal Study
BMC Medical Education
Generation of Potent Antibacterial Compounds through Enzymatic and Chemical Modifications of the trans-δ-viniferin Scaffold
Scientific Reports
Influence of Molecular Structure and Physicochemical Properties of Immunosuppressive Drugs on Micelle Formulation Characteristics and Cutaneous Delivery
Pharmaceutics
On Performance Evaluation of Inertial Navigation Systems: The Case of Stochastic Calibration
IEEE Transactions on Instrumentation and Measurement
Platform Combining Statistical Modeling and Patient-Derived Organoids to Facilitate Personalized Treatment of Colorectal Carcinoma
Journal of Experimental & Clinical Cancer Research
Robust Wavelet Variance-Based Stochastic Analysis of Instantaneous Code Phase-Based Oscillator Instability
Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), Denver, CO, USA
The Action of Physiological and Synthetic Steroids on the Calcium Channel CatSper in Human Sperm
Frontiers in Cell and Developmental Biology

2022

Robust Two-step Wavelet-based Inference for Time Series Models
Journal of the American Statistical Association
Scale-wise Variance Minimization for Optimal Virtual Signals
IEEE Transactions on Signal Processing
The Variance Inflation Factor to Account for Correlations in Likelihood Ratio Tests: Deformation Analysis with Terrestrial Laser Scanners
Journal of Geodesy
Dexamethasone Exposure in Normal-weight and Obese Hospitalized COVID-19 Patients: An Observational Exploratory Trial
Clinical and Translational Science
Evidence of Antagonistic Predictive Effects of miRNAs in Breast Cancer Cohorts Through Data-Driven Networks
Scientific Reports
Robust Wavelet Variance-based Approaches for the Stochastic Modeling of Inertial Sensor Measurement Noise
The Institute of Navigation, International Technical Meeting, Long Beach, CA, USA
Students’ intentions to practice primary care are associated with their motives to become doctors: a longitudinal study
BMC Medical Education

2021

A Two-sample Nonparametric Test for Circular Data–its Exact Distribution and Performance
Sankhya B
Empirical Predictive Modeling Approach to Quantifying Social Vulnerability to Natural Hazards
Annals of the American Association of Geographers
Granger-Causal Testing for Irregularly Sampled Time Series with Application to Nitrogen Signaling in Arabidopsis
Bioinformatics
Non Applicability of Validated Predictive Models for Intensive Care Admission and Death of COVID-19 Patients in a Secondary Care Hospital in Belgium
Journal of Emergency and Critical Care Medicine
Polymeric Micelle Formulations for the Cutaneous Delivery of Sirolimus: A New Approach for the Treatment of Facial Angiofibromas in Tuberous Sclerosis Complex
International Journal of Pharmaceutics

2020

Generalized Additive Models: An Efficient Method for Short-Term Energy Prediction in Office Buildings
Energy
Optimally Weighted Wavelet Variance-based Estimation for Inertial Sensor Stochastic Calibration
in 12th International Conference on Electrical Engineering, Cairo, Egypt
Targeting Hallmarks of Cancer with a Food-system–based Approach
Nutrition
Wavelet-Based Moment-Matching Techniques for Inertial Sensor Calibration
IEEE Transactions on Instrumentation & Measurement
Worldwide Predictions of Earthquake Casualty Rates with Seismic Intensity Measure and Socioeconomic Data: a Fragility-based Formulation
Natural Hazards Review

2019

Simulation-based Bias Correction Methods for Complex Models
Journal of the American Statistical Association
Multivariate Signal Modeling with Applications to Inertial Sensor Calibration
IEEE Transactions on Signal Processing
A Multisignal Wavelet Variance-based Framework for Inertial Sensor Stochastic Error Modeling
IEEE Transactions on Instrumentation and Measurement
Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation
in Proceedings of the ION GNSS
Predicting Fatality Rates due to Earthquakes Accounting for Community Vulnerability
Earthquake Spectra

2018

A Computationally Efficient Framework for Automatic Inertial Sensor Calibration
IEEE Sensors Journal
A Two-Step Computationally Efficient Procedure for IMU Classification and Calibration
in Proceedings of IEEE/ION PLANS
An Optimal Virtual Inertial Sensor Framework using Wavelet Cross Covariance
in Proceedings of IEEE/ION PLANS
Construction of Dynamically-Dependent Stochastic Error Models
in Proceedings of IEEE/ION PLANS
Improved Stochastic Modelling of Low-Cost GNSS Receivers Positioning Errors
in Proceedings of IEEE/ION PLANS
Is Nonmetastatic Cutaneous Melanoma Predictable through Genomic Biomarkers?
Melanoma Research
Modeling the Climate Change Effects on Storm Surge with Metamodels
6th International Symposium on Life-Cycle Civil Engineering, IALCCE
Parametric Inference for Index Functionals
Econometrics, invited paper for the special issue Econometrics and Income Inequality
Use of a New Online Calibration Platform with Applications to Inertial Sensors
IEEE Aerospace and Electronic Systems Magazine

2017

A Computational Multivariate-based Technique for Inertial Sensor Calibration
in Proceedings of the ION GNSS
A Study of the Allan Variance for Constant-Mean Nonstationary Processes
IEEE Signal Processing Letters
An Automatic Calibration Approach for the Stochastic Parameters of Inertial Sensors
in Proceedings of the ION GNSS
An Overview of a New Sensor Calibration Platform
in Proceeding of the 4th IEEE International Workshop on Metrology for Aerospace, Padova, Italy

2016

A Predictive based Regression Algorithm for Gene Network Selection
Frontiers in Genetics, Statistical Genetics and Methodology
Discussion on Maximum Likelihood-based Methods for Inertial Sensor Calibration
IEEE Sensors Journal
Member Plan Choice and Migration in Response to Changes in Member Premiums after Massachusetts Health Insurance Reform
North American Actuarial Journal
Theoretical Limitations of Allan Variance-based Regression for Time Series Model Estimation
IEEE Signal Processing Letters
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
Wavelet-based Improvements for Inertial Sensor Error Modeling
IEEE Transactions on Instrumentation and Measurement

2015

A Computationally Efficient Platform for Inertial Sensor Calibration
in Proceedings of the ION GNSS
An Approach for Observing and Modeling Errors in MEMS-based Inertial Sensors under Vehicle Dynamic
IEEE Transactions on Instrumentation and Measurement
An Inertial Sensor Calibration Platform to Estimate and Select Error Models
in Proceedings of the International Association of Institutes of Navigation, Prague, Czech Republic
Automatic Identification and Calibration of Stochastic Parameters in Inertial Sensors
Journal of the Institute of Navigation
Automatic and Computationally Efficient Method for Model Selection in Inertial Sensor Calibration
in Proceedings of the ION GNSS

2014

Estimation of Time Series Models via Robust Wavelet Variance
Austrian Journal of Statistics
Generalized Method of Wavelet Moments for Inertial Navigation Filter Design
IEEE Transactions on Aerospace and Electronic Systems
Study of MEMS-based Inertial Sensors Operating in Dynamic Conditions
in Proceedings of IEEE/ION PLANS

2013

Wavelet-variance-based Estimation for Composite Stochastic Processes
Journal of the American Statistical Association
An Algorithm for Automatic Inertial Sensors Calibration
in Proceedings of the ION GNSS

2012

A Framework for Inertial Sensor Calibration using Complex Stochastic Error Models
in Proceedings of IEEE/ION PLANS
Fault Detection and Isolation in Multiple MEMS-IMUs Configurations
IEEE Transactions on Aerospace and Electronic Systems

2011

Constrained Expectation-Maximization Algorithm for Stochastic Inertial Error Modeling: Study of Feasibility
Measurement Science and Technology
Improving Modeling of MEMS-IMUs Operating in GNSS-Denied Conditions
in Proceedings of the ION GNSS

2010

Noise Reduction and Estimation in Multiple Micro-electro-mechanical Inertial Systems
Measurement Science and Technology
Robust FDI in Redundant MEMS-IMUs Systems
EuroCOW, the Calibration and Orientation Workshop (European Spatial Data Research), Barcelona, Spain

2009

Improving Accuracy with Multiple Sensors: Study of Redundant MEMS-IMU/GPS Configurations
in Proceedings of the ION GNSS

2008

Redundant MEMS-IMU integrated with GPS for Performance Assessment in Sports
in Proceedings of IEEE/ION PLANS
↑ Back to top