Umeå universitet
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Personalbild Mohammad Ghorbani

Mohammad Ghorbani

Jag är universitetslektor i matematisk statistik, mina huvudsakliga forskningsintressen är spatiala och spatial-temporala statistik, analys av rumsligt beroende funktionsdata och maskininlärning.

Kontakt

E-post
mohammad.ghorbani@umu.se
Telefon
090-786 65 14

Verksam vid

Anknytning
Universitetslektor vid Institutionen för matematik och matematisk statistik
Plats
MIT-huset, plan 3, Matematik och matematisk statistik, MIT.B.365 Umeå universitet, 901 87 Umeå
Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data
Test (Madrid), Sociedad de Estadística e Investigación Operativa (Spanish Society of Statistics and Operations Research) 2021, Vol. 30, (3) : 529-568
Ghorbani, Mohammad; Cronie, Ottmar; Mateu, Jorge; et al.
Testing the first-order separability hypothesis for spatio-temporal point patterns
Computational Statistics & Data Analysis, Elsevier 2021, Vol. 161
Ghorbani, Mohammad; Vafaei, Nafiseh; Dvořák, Jiří; et al.
Mathematical Models to Shed Light on Amyloid-Beta and Tau Protein Dependent Pathologies in Alzheimer’s Disease
Neuroscience
Ghorbani, Mohammad
Functional marked point processes: Unifying spatio-temporal frameworks and analysing spatially dependent functional data
Statistical Analysis for Space-Time Data: Pragramme and Abstract Book, Eurpean Courses in Advanced Statistics (ECAS) 2019 : 7-7
Cronie, Ottmar; Ghorbani, Mohammad; Yu, Jun; et al.
Functional marked point processes: a natural structure to unify spatio-temporal frameworks and to analyse dependent functional data
20th Workshop on Stochastic Geometry, Stereology and Image Analysis 2–7 June, 2019, Sandbjerg Estate, Denmark: Abstract book : 13-13
Ghorbani, Mohammad; Cronie, Ottmar; Mateu, Jorge; et al.
Mechanistic Spatio-Temporal Point Process Models for Marked Point Processes, with a View to Forest Stand Data
Biometrics, John Wiley & Sons 2016, Vol. 217, (3) : 687-696
Møller, Jesper; Ghorbani, Mohammad; Rubak, Ege
Functional summary statistics for the Johnson-Mehl model
Journal of Statistical Computation and Simulation, Taylor & Francis 2015, Vol. 85, (5) : 899-916
Møller, Jesper; Ghorbani, Mohammad
On the expected value and variance for an estimator of the spatio-temporal product density function
Aalborg University. Department of Mathematical Sciences
Ghorbani, Mohammad
Testing the weak stationarity of a spatio-temporal point process
Stochastic environmental research and risk assessment (Print), Springer 2013, Vol. 27 : 517-524
Ghorbani, Mohammad
Cauchy cluster process
Metrika (Heidelberg), Springer 2013, Vol. 76 : 697-706
Ghorbani, Mohammad
Maximum Entropy-Based Fuzzy Clustering by Using L1-norm Space
Turkish Journal of Mathematics, Vol. 29 : 431-438
Ghorbani, Mohammad
Local indicators of spatio-temporal association: LISTA functions
Ghorbani, Mohammad
A new class of spatial covariance functions generated by higher-order kernels
Ghorbani, Mohammad; Mateu, Jorge
Spatio-temporal determinantal point processes and a kernel-based test for first-order separability
Vafaei, Nafiseh; Ghorbani, Mohammad; Ganji, Masoud; et al.
Visa publikationer i DiVA

- Analys av Fältdata (Analysis of Field Data), Hösten 2020

- Statistik för teknologer (Statistics for Engineers), Hösten 2021

- Avancerad sannolikhetsteori (Advanced Probability Theory), Hösten 2021

- Datorintensiva statistiska metoder (Computer Intensive Methods in Statistics), Våren 2022