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LUIGI AUGUGLIARO

Curriculum and Research

AUGUGLIARO LUIGI

LUIGI AUGUGLIARO

 (STAT-01/A)

Scienze Economiche, Aziendali e Statistiche

Contacts

+3909123895242

luigi.augugliaro@unipa.it

Download the curriculum in pdf file

Subjects

Academic Year Subject identification code Subject name ECTS Course of study
2024/2025 21346 CONOSCENZE INFORMATICHE C.I. 6 ECONOMIA E FINANZA
2024/2025 21977 PROGRAMMAZIONE AVANZATA IN R PER DATI AD ALTA DIMENSIONALITÀ 6 STATISTICA E DATA SCIENCE
2024/2025 22609 SOFTWARE PER ANALISI DATI ECONOMICI E FINANZIARI 1 (MODULO) 3 ECONOMIA E FINANZA
2024/2025 06647 STATISTICA 1 8 ECONOMIA E FINANZA
2024/2025 24255 STATISTICA 1 8 ECONOMIA E FINANZA

Publications

Date Title Type Record
2024 Analysis of Brain–Body Physiological Rhythm Using Functional Graphical Models Contributo in atti di convegno pubblicato in volume Go to
2024 Single-cell Sequencing Data: Critical Analysis and Definition of Statistical Models Contributo in atti di convegno pubblicato in volume Go to
2024 Sparse inference of the human haematopoietic system from heterogeneous and partially observed genomic data Articolo in rivista Go to
2023 On the Optimal Non-Convexity of Penalty in Sparse Regression Models Contributo in atti di convegno pubblicato in volume Go to
2023 A New Penalized Estimator for Sparse Inference in Gaussian Graphical Models: An Adaptive Non-Convex Approach Contributo in atti di convegno pubblicato in volume Go to
2023 SUPERVISED CLASSIFICATION OF CURVES BY FUNCTIONAL DATA ANALYSIS: AN APPLICATION TO NEUROMARKETING DATA Contributo in atti di convegno pubblicato in volume Go to
2023 Networks and society Articolo in rivista Go to
2023 Conditional Gaussian Graphical Models for Functional Variables with Partially Separable Operators Contributo in atti di convegno pubblicato in volume Go to
2023 Sparse Inference in functional conditional Gaussian Graphical Models under Partial Separability Contributo in atti di convegno pubblicato in volume Go to
2023 Using Differential Geometry for Sparse High-Dimensional Risk Regression Models Capitolo o Saggio Go to
2023 cglasso: An R Package for Conditional Graphical Lasso Inference with Censored and Missing Values Articolo in rivista Go to
2023 Conditional Gaussian Graphical Models for Functional Variables whit Partial Separable Operators Contributo in atti di convegno pubblicato in volume Go to
2022 Variable Selection with Quasi-Unbiased Estimation: the CDF Penalty Contributo in atti di convegno pubblicato in volume Go to
2022 Hierarchical Bayesian models for analysing fish biomass data. An application to Parapenaeus longirostris biomass data Contributo in atti di convegno pubblicato in volume Go to
2022 The Joint Censored Gaussian Graphical Lasso Model Contributo in atti di convegno pubblicato in volume Go to
2022 Investigating the Heartbeat-evoked cortical responses through parametric Time-Varying Information Measures Contributo in atti di convegno pubblicato in volume Go to
2022 Variable selection with unbiased estimation: the CDF penalty Contributo in atti di convegno pubblicato in volume Go to
2022 A Software Tool For Sparse Estimation Of A General Class Of High-dimensional GLMs Articolo in rivista Go to
2021 Extending graphical models for applications: on covariates, missingness and normality Articolo in rivista Go to
2021 Covariate adjusted censored gaussian lasso estimator Contributo in atti di convegno pubblicato in volume Go to
2021 SPARSE INFERENCE IN COVARIATE ADJUSTED CENSORED GAUSSIAN GRAPHICAL MODELS Contributo in atti di convegno pubblicato in volume Go to
2020 The conditional censored graphical lasso estimator Articolo in rivista Go to
2020 l1-Penalized censored Gaussian graphical model Articolo in rivista Go to
2020 Sparse relative risk regression models Articolo in rivista Go to
2020 An Extension of the DgLARS Method to High-Dimensional Relative Risk Regression Models Capitolo o Saggio Go to
2019 An extension of the censored gaussian lasso estimator Contributo in atti di convegno pubblicato in volume Go to
2018 Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter Articolo in rivista Go to
2016 Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks Articolo in rivista Go to
2016 Sparse relative risk survival modelling Contributo in atti di convegno pubblicato in volume Go to
2016 A differential-geometric approach to generalized linear models with grouped predictors Articolo in rivista Go to
2016 ℓ1-Penalized Methods in High-Dimensional Gaussian Markov Random Fields Capitolo o Saggio Go to
2015 miR-155 regulative network in FLT3 mutated acute myeloid leukemia Articolo in rivista Go to
2015 Using the dglars Package to Estimate a Sparse Generalized Linear Model Capitolo o Saggio Go to
2014 DgCox: a differential geometric approach for high-dimensional Cox proportional hazard models Contributo in atti di convegno pubblicato in volume Go to
2014 An efficient algorithm to estimate the sparse group structure of an high-dimensional generalized linear model Contributo in atti di convegno pubblicato in volume Go to
2014 Robustness of dynamic gene regulatory networks in Neisseria Contributo in atti di convegno pubblicato in volume Go to
2014 dglars: An R Package to Estimate Sparse Generalized Linear Models Articolo in rivista Go to
2014 Cyclic coordinate for penalized Gaussian graphical models with symmetry restriction Contributo in atti di convegno pubblicato in volume Go to
2013 Estimation of sparse generalized linear models: the dglars package Contributo in atti di convegno pubblicato in volume Go to
2013 Differential geometric least angle regression: a differential geometric approach to sparse generalized linear models Articolo in rivista Go to
2012 Quantile regression via iterative least squares computations Articolo in rivista Go to
2012 A computational method to estimate sparse multiple Gaussian graphical models Contributo in atti di convegno pubblicato in volume Go to
2012 Differential geometric LARS via cyclic coordinate descent method Contributo in atti di convegno pubblicato in volume Go to
2011 Plaid model for microarray data: an enhancement of the pruning step Capitolo o Saggio Go to
2011 Using differential geometric LARS algorithm to study the expression profile of a sample of patients with latex-fruit syndrome Articolo in rivista Go to
2010 A statistical calibration model for Affymetrix probe level data Capitolo o Saggio Go to
2010 Differential expression of specific microRNA and their targets in acute myeloid leukemia Articolo in rivista Go to
2010 Using differential LARS algorithm to study the expression profile of a sample of patients with latex-fruit syndrome Proceedings Go to
2009 Generalizing LARS algorithm using differential geometry Proceedings Go to
2009 Applying differential geometric LARS algorithm to ultra-high dimensional feature space Proceedings Go to
2009 Genetic Network construction in CML gene expression profile data analysis Proceedings Go to
2009 Identifying modularity structure of a genetic network in gene expression profile data Articolo in rivista Go to
2009 Mixing modelling ideas for microarray data Proceedings Go to
2008 An enhancement of the plaid model algorithm Proceedings Go to
2008 Random effects elliptically distributed in unbalanced linear models Proceedings Go to
2007 A Statistical Calibration Method based on Non-Linear Mixed Model for Affymetrix Probe Level Data Proceedings Go to
2007 Statistical Analysis of the Gene Expression Profile in Patients with Chronic Myeloid Leukemia and Innately Resistant to Imatinib Proceedings Go to
2007 Prediction of the gene expression measure by means of a GLMM Proceedings Go to
2007 Gene Expression Profile of Chronic Myeloid Leukemia Innately Resistant to Imatinib Articolo in rivista Go to
2006 Modelling the background correction in microarray data analysis Proceedings Go to
2006 A new proposal for microarray background correction by means of a GLMM Proceedings Go to