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Data Analyst & Senior Statistician
at
EPID Research Oy
My Phd thesis
Titled "Studies in Computational Statistical Methods
with Applications to Pattern Recognition and Data Analysis"
Research
Computational statistics with applications in life sciences
- Register based pharmacoepidemiological research
- Statistical modelling of longitudinal epidemiological data.
- Gene mapping methods
- Exploratory analyses of high dimensional data sets.
Refereed Publications
- D. Pessoa, F. Hoti,
R. Syrjänen, R. Sá-Leão, T. Kaijalainen, M.G. Gomes, and
K. Auranen.
Comparative analysis of Streptococcus pneumoniae transmission in
Portuguese and Finnish day-care centres.
BMC Infectious Diseases, 2013.
Available
online.
- P. Erästö, F. Hoti, and
K. Auranen.
Modeling transmission of multitype infectious agents - application to carriage
of Streptococcus pneumoniae.
Statistics in Medicine, 2012.
Available
online doi: 10.1002/sim.4487.
- E. Urgard, T. Vooder,
U. Võsa, K. Välk, M. Liu, C. Luo, F. Hoti, R. Roosipuu, T. Annilo,
J. Laine, C.M. Frenz, L. Zhang, and A. Metspalu.
Metagenes associated with survival in non-small cell lung cancer.
Cancer Informatics, 10:1-9, 2011.
Available
online.
- A.M. Bauer, F. Hoti, T.C.
Reetz, W-D. Schuh, J. Léon, and M.J. Sillanpää.
Bayesian prediction of breeding values by accounting for
genotype-by-environment interaction in self-pollinating crops.
Genetics Research, 91:193-207, 2009.
Available
online.
- A.M. Bauer, F. Hoti,
M. von Korff, K. Pillen, J. Léon, and M.J. Sillanpää.
Advanced backcross-QTL analysis in spring barley (H. vulgare ssp.
spontaneum) comparing a REML vs. a bayesian model in
multi-environmental field trials.
Theoretical and Applied Genetics, 119:105-123, 2009.
Available online doi:10.1007/s00122-009-1021-6.
- P. Erästö, F. Hoti,
S. Granat, Z. Mia, P. Mäkelä, and K. Auranen.
Modelling multi-type transmission of pneumococcal carriage in bangladeshi
families.
Epidemiology and Infection, 12:1-12, 2009.
- F. Hoti, P. Erästö, T. Leino,
and K. Auranen.
Outbreaks of Streptococcus pneumoniae carriage in day care cohorts in
Finland- implications for elimination of transmission.
BMC Infectious Diseases, 9:102, 2009.
Available
online.
- T. Leino, F. Hoti,
R. Syrjänen, A. Tanskanen, and K. Auranen.
Clustering of serotypes in a longitudinal study of Streptococcus
pneumoniae carriage in three day care centres.
BMC Infectious Diseases, 8:173, 2008.
Available
online.
- P. Waldmann,
J. Hallander, F. Hoti, and M. J. Sillanpää.
Efficient Markov chain Monte Carlo implementation of Bayesian analysis of
additive and dominance genetic variances in non-inbred pedigrees.
Genetics, 179:1101-1112, June 2008.
Abstract.
- M. J. Sillanpää and
F. Hoti.
Mapping quantitative trait loci from a single tail sample of the phenotype
distribution including survival data.
Genetics, 177:2361-2377, December 2007.
Abstract.
- F. Hoti and M. J.
Sillanpää.
Bayesian mapping of genotype × expression interactions in quantitative
and qualitative traits.
Heredity, 97:4-18, 2006.
Available
online doi:10.1038/sj.hdy.6800817.
- L. Holmström
and F. Hoti.
Application of semiparametric density estimation to classification.
In ICPR2004, Proceedings of the 2004 International Conference on
Pattern Recognition, August 23-26, 2004.
presentation slides.
- F. Hoti and
L. Holmström.
A semiparametric density estimation approach to pattern classification.
Pattern Recognition, 37:409-419, 2004.
Available
online.
- F. Hoti,
A. Tuulio-Hendriksson, J. Haukka, T. Partonen, L. Holmström, and
J. Lönnqvist.
Family-based clusters of cognitive test performance in familial schizophrenia.
BMC Psychiatry, 4:20, 2004.
Available
online.
- F. Hoti and
L. Holmström.
On the estimation error in binned local linear regression.
Journal of Nonparametric Statistics, 15(4-5):625-642, 2003.
Abstract.
- F.J. Hoti, M.J. Sillanpää,
and L. Holmström.
A note on estimating the posterior density of a quantitative trait locus from a
Markov chain Monte Carlo sample.
Genetic Epidemiology, 22:369-376, 2002.
Abstract.
- F. Hoti and
L. Holmström.
Reduced kernel regression for fast classification.
In P. Brenner L. Arkeryd, J. Rergh and R. Pettersson, editors, Progress
in Industrial Mathematics at ECMI 98, pages 405-412. B.G. Teubner
Stuttgart - Leipzig, 1999.
pdf-file.
- L. Holmström
and F. Hoti.
Radial basis function classification as computationally efficient kernel
regression.
In IJCNN '98, Proceedings of the 1998 IEEE International Joint
Conference on Neural Networks, Anchorage, Alaska, May 4-9, volume 2,
pages 1305-1310, 1998.
Complete list of Publications
Supplementary information
Matlab implementation of the kernel density estimator (KDE) for the paper
"A note on estimating the posterior density of a quantitative trait locus
from a Markov chain Monte Carlo sample".
Both the binned and the unbinned version in 1-d.
kdefun.zip
(See
Genetic Epidemiology)
Supplementary information to the paper "Family-based clusters of cognitive test performance in familial schizophrenia
"
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