Davide Ferrari

发表

A genetic algorithm optimization for IMSC technique

Simone Cinquemani, Davide Ferrari, 2014, 2014 IEEE Conference on Control Applications (CCA).

A Spatio-Temporal Model and Inference Tools for Longitudinal Count Data on Multicolor Cell Growth

Davide Ferrari, PuXue Qiao, Christina Mølck, 2016, The international journal of biostatistics.

Demonstration of Envariance and Parity Learning on the IBM 16 Qubit Processor pdf

Michele Amoretti, Davide Ferrari, 2018, ArXiv.

Dynamics Modeling and Accuracy Evaluation of a 6-DoF Hexaslide Robot

Enrico Fiore, Davide Ferrari, Hermes Giberti, 2016 .

Efficient and Effective Quantum Compiling for Entanglement-based Machine Learning on IBM Q Devices

Michele Amoretti, Davide Ferrari, 2018 .

Model Selection confidence sets by likelihood ratio testing

Yuhong Yang, Davide Ferrari, Chao Zheng, 2017, Statistica Sinica.

A Survey of Low Voltage and Low Power Amplifier Topologies

Davide Ferrari, Luigi Colalongo, Anna Richelli, 2018 .

A Fuzzy Inference System for Teaching Evaluation

Davide Ferrari, Tommaso Pirotti, Michele Lalla, 2008 .

Drive System Sizing of a 6-DOF Parallel Robotic Platform

Hermes Giberti, Davide Ferrari, 2014 .

Reliable inference for complex models by discriminative composite likelihood estimation

Davide Ferrari, Chao Zheng, 2016, J. Multivar. Anal..

A Belt-Driven 6-DoF Parallel Kinematic Machine

Hermes Giberti, Davide Ferrari, Navid Negahbani, 2016 .

Exaptive Processes: An Agent Based Model

Roberto Serra, Marco Villani, Davide Ferrari, 2009 .

An Agent‐Based Model of Exaptive Processes

Roberto Serra, David Lane, Marco Villani, 2007 .

Fuzzy Inference System to Analyze Ordinal Variables - The Case of Evaluating Teaching Activity

Davide Ferrari, Tommaso Pirotti, Michele Lalla, 2014, IJCCI.

Robust Hemodynamic Response Function Estimation From fNIRS Signals

Davide Ferrari, Abd-Krim Seghouane, Davide Ferrari, 2019, IEEE Transactions on Signal Processing.

Discovering the Topics of a Data Source: a Statistical Approach

Sonia Bergamaschi, Francesco Guerra, Giovanni Simonini, 2014, SDSW@ISWC.

Robust heart rate variability analysis by generalized entropy minimization

Davide Ferrari, Davide La Vecchia, Lorenzo Camponovo, 2015, Comput. Stat. Data Anal..

ANALYTICAL PERFORMANCE EVALUATION OF SMALL FLOW LINES WITH SHARED BUFFER

Andrea Matta, Davide Ferrari, 2007 .

Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study

Paolo Missier, Davide Ferrari, Federica Mandreoli, 2020, EDBT/ICDT Workshops.

Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association

Davide Ferrari, Guoqi Qian, Zhendong Huang, 2016, Comput. Stat. Data Anal..

Wind Tunnel Tests On Floating Offshore Wind Turbines: Design Of a 6 DOF Robotic Platform For Floating Motion Simulation

Davide Ferrari, Hermes Giberti, Marco Belloli, 2014 .

Providing Insight into Data Source Topics

Sonia Bergamaschi, Francesco Guerra, Giovanni Simonini, 2016, Journal on Data Semantics.

Ranking the importance of genetic factors by variable‐selection confidence sets

Davide Ferrari, Chao Zheng, Michael Zhang, 2019, Journal of the Royal Statistical Society: Series C (Applied Statistics).

Semisupervised Clustering by Iterative Partition and Regression with Neuroscience Applications

Davide Ferrari, Frédéric Hollande, Yuehua Wu, 2016, Comput. Intell. Neurosci..

A novel hardware-in-the-loop device for floating offshore wind turbines and sailing boats

Hermes Giberti, Davide Ferrari, 2015 .

Design of a 6-DoF Robotic Platform for Wind Tunnel Tests of Floating Wind Turbines

Hermes Giberti, Davide Ferrari, Marco Belloli, 2014 .

Un manipolatore per prove dinamiche in galleria del vento con hardware in the loop: analisi elastodinamica

Hermes Giberti, Enrico Fiore, Davide Ferrari, 2015 .

Sparse and robust normal and t- portfolios by penalized Lq-likelihood minimization

Davide Ferrari, Sandra Paterlini, Margherita Giuzio, 2016, Eur. J. Oper. Res..

Response improvement in complex experiments by co-information composite likelihood optimization

Davide Ferrari, Davide De March, Matteo Borrotti, 2013, Statistics and Computing.

A genetic algorithm approach to the kinematic synthesis of a 6-DoF parallel manipulator

Hermes Giberti, Davide Ferrari, 2014, 2014 IEEE Conference on Control Applications (CCA).

Does Covid-19 Mass Testing Work? The Importance of Accounting for the Epidemic Dynamics

Davide Ferrari, Mirco Tonin, Steven Stillman, 2021, 2104.14813.

Smoothed Semicovariance Estimation

Davide Ferrari, Sandra Paterlini, Alex Weissensteiner, 2021 .

Sparse composite likelihood selection

Davide Ferrari, Claudia Di Caterina, Davide Ferrari, 2021, 2107.09586.

Fast construction of optimal composite likelihoods

Davide Ferrari, Zhendong Huang, 2021 .

Truncated pair-wise likelihood for the Brown-Resnick process with applications to maximum temperature data

Davide Ferrari, Zhendong Huang, Olga Shulyarenko, 2021, Extremes.

Political institutions and central bank independence revisited

Davide Ferrari, Barbara Pistoresi, Francesco Salsano, 2009 .

Parsimonious and Efficient Likelihood Composition by Gibbs Sampling

Davide Ferrari, Guoqi Qian, Davide Ferrari, 2015, 1502.04800.

On robust estimation via pseudo-additive information

Davide Ferrari, Davide La Vecchia, 2012 .

Efficient and Robust Estimation for Financial Returns: An Approach Based on q-Entropy

Davide Ferrari, Sandra Paterlini, 2010 .

Fast construction of efficient composite likelihood equations

Davide Ferrari, Zhendong Huang, Davide Ferrari, 2017, 1709.03234.

Web‐based versus paper‐based data collection for the evaluation of teaching activity: empirical evidence from a case study

Davide Ferrari, Michele Lalla, Davide Ferrari, 2011 .