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Key information
Why study with us
Careers
Faculty
Contacts
Governance and organization
Administrative procedures
Course Quality Assurance System
Students' opinions
Applying
arrow_drop_down
Welcome and orientation
Degree Course Students Guide
Admission requirements
How to apply
Recognition of academic qualifications
International students
Tuition fees and financial aid
Learning Italian
Studying
arrow_drop_down
Academic calendar
Timetable
Courses
Study plan
Exams
E-learning
Teaching material
Classrooms and laboratories
Tutoring and Buddy
Students with special needs
Scholarships, grants and study awards
Events, activities and opportunities
Internships
Erasmus and international mobility
Graduating
arrow_drop_down
Thesis and graduation
Continuing studies
Job placement
Diploma supplement
State exams
Living in Turin
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Before you leave home
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Turin and surroundings
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Teaching materials
NUMERICAL AND STATISTICAL METHODS FOR FINANCEECO0152
NUMERICAL AND STATISTICAL METHODS FOR FINANCE
(ECO0152)
Teacher:
Stefano Favaro
,
Amir Khorrami Chokami
,
Alessandra Corvo
,
Guillaume Kon Kam King
Year:
1st year
Degree course:
Finance
Insurance and Statistics
MATERIALE DIDATTICO
AA 2020/2021
Other files
200923-24_NSMF-CMS_Preliminaries
AA 2019/2020
Other files
191105-06 Introduction to R
191112 Data
191112 Introduction to R
191112-Pseudorandom-Number-Generation
191119-20-Monte-Carlo-Integration
191126-27-Generation-of-discrete-rv
191203-11 Generating continuous rv
Importance Sampling
Syllabus
AA 2017/2018
Dispense
slides_R
Esercitazioni
bootstrap data
bootstrap_script
data -- image segmentation
data kmeans
dice_script
discrete simulator
ecdf
EM mixtures
esame_Gennaio2017
esame_Luglio2017
faithful -- data for em mixture
image segmentation
importance sampling
k-means
linear congruential
monte_carlo_integration
prova d'esame Febbraio 2017
restricted_exponential
rgaussian
rpoisson
sample_logistic
script_R
Other files
Syllabus
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