MODELING, OPTIMIZATION
and STATISTICAL INFERENCE
RESEARCH GROUP
Researchers in
MODES
are distributed along several
faculties and schools of the University of A Coruña
.
A CORUÑA:
Computer Science Faculty (Elviña Campus)
Science Faculty (Zapateira Campus)
Health Sciences Faculty (Oza Campus)
University School of Physiotherapy (Oza Campus)
FERROL:
Higher Polytechnic School (Esteiro Campus)
Polytechnic Universitary School (Serantes Campus)
Ubi
Co
mputer
Scienc
e
Fac
ulty
Polytechnic Univ. School - Serantes
F
ERR
A
C
OR
UÑ
A
Computer Science Faculty - Elviña
Science Faculty - Zapateira
Health Sciences Faculty - Oza
Re
sea
rch
Lines
I
Nonparametric Inference
Nonparametric density estimation
Nonparametric regression methods
Smoothing parameter selection
Resampling methods
Goodness-of-fit tests
Empirical likelihood
Time series
Local polynomial regression with dependent data
Kernel estimation under dependence
Partial linear models with dependent errors
Analysis of irregularly observed data
Nonparametric and semiparametric prediction
Dependent data
Re
sea
rch
Lines
II
Survival analysis
Censored data
Truncated data
Presmoothed estimation
Hazard rate and cumulative hazard function estimation
Applications of survival analysis to Biology and Medicine
Estimation of thermogravimetric curves
Statistical applications to other fields
Applications of hazard rate estimation to Sysmology
Applications of nonparametric classification to Weed Science
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sea
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Lines
Game Theory
Negotiation and non-cooperative games
Analysis of voting structures
Cooperative games and cost assignment models
Mathematical programming and applications
Planning methods in logistic models
Operations Research (OR)
Optimal design of routes
Inventory management
Re
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Lines
IV
Use of statistical models to solve problems in several
fields, including industrial, environmental, health, and
social problems, among others.
Application of modern statistical techniques to control
production processes in order to improve the productivity
and to reduce costs, thus obtaining a strong competitive
advantage.
Applied Statistical Models:
Statistical Quality Control:
Stati
stical
services
I
Application of statistical procedures for data analysis
where the outcome variable of interest is time until an
event occurs.
Stati
stical
services
II
Statistical support services in the process of design and
manufacture of different products, studying the probability
of failure as a function of time. For instance, the time of
failure of a machine or the lifetime of manufactured pieces.
Reliability Analysis:
Development of specific models for measuring and managing
credit risk.
Development of specific models for measuring and controling
operational risk.
Loss modeling: Application of statistical methods to forecast
at a fixed time horizon, the number of losses and the
associated costs.
Modeling the execution of rescue and suspension rights in
insurance policies.
Services for insurance sector.
Services for financial institutions.
Stati
stical
services
III
Stati
stical
services
IV
Analysis and classification of materials
Analysis of structural properties of materials through the
determination of changes in mass and energy variations
associated to the material under study.
Logistics
services
I
Application of mathematical programming techniques
and of metaheuristics to the optimal design of routes
and tasks planning.
Fund
ing
Funding sources since 2007
43,14%
19,67%
0,16%
37,03%
UDC Grants
Xunta de Galicia Grants
Spanish Grants
Contracts with
Companies and
Institutions
Mai
n
cus
tomer
sec
tors
aluminium
electricity
wood
furniture
health
textile
employment
mining
financial
sector
construcció
n
naval
economy
insurance
plastics
training
materiales de
building
public
administration
Statistics and Economy
Statistics and Finance
What are the best investment options in the stock
market?
App
li
App
li
cations
materials fatigue?
Statistics and Industrial Control
Statistics and Credit Risk
How much money a bank loses when
we do not pay our loans?
App
li
cations
How long can a patient survive after undergoing
surgery?
How does industrial pollution affect us?
Statistics and Survival
App
li
cations
How can we detect weeds in our crops?
Statistics and Genomics
App
li
cations
should pay the infrastructure manager?
What is the real influence of each country within the
European Union?
Games and tariffs
Aplicati
ons
VI
What routes should the milk collection trucks take?
How to design work schedules for the machines
of an agricultural cooperative?
OR and routes
Specif
ic
contri
buti
ons
I
Specif
ic
contri
buti
ons
II
A new method has been proposed to
transform ISO codes into ppm
(Arizona dust - solids) and mg/l (water)
R&D&I transfer in
collaboration with:
Specif
ic
contri
buti
ons
III
Determining how many meters, according to their size, flow and age,
must be examined to obtain measurements with a given accuracy.
R&D&I transfer in
collaboration with:
determination of their lifetime
ERRORcat F re cu e n ci a 0.0 0.2 0.4 0.6 0.8 1.0 (-84.2,-59] (-59,-33.9] (-33.9,-8.83](-8.83,16.3] (16.3,41.4] (41.4,66.5] : MARCA ACTARIS (-84.2,-59] (-59,-33.9] (-33.9,-8.83](-8.83,16.3] (16.3,41.4] (41.4,66.5] : MARCA BMETERS (-84.2,-59] (-59,-33.9] (-33.9,-8.83](-8.83,16.3] (16.3,41.4] (41.4,66.5] : MARCA CONTAGUA :
MARCA ELSTER MARCA IDRO :
0.0 0.2 0.4 0.6 0.8 1.0 : MARCA LORENZ 0.0 0.2 0.4 0.6 0.8 1.0 :
