<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.1//EN" "http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd"> <html> <head> <META HTTP-EQUIV="expires" CONTENT="0"> <META HTTP-EQUIV="CACHE-CONTROL" CONTENT="NO-CACHE"> <meta http-equiv="content-type" content="text/html; charset=windows-1250"> <meta name="generator" content="PSPad editor, www.pspad.com"> <body> <p><b>Michal ern</b>, Katedra ekonometrie, Vysok akola ekonomick v Praze (Department of Econometrics, University of Economics, Prague, Czech Republic)</p> <p>cernym {at} vse.cz, office 430NB, <a href="http://isis.vse.cz/lide/clovek.pl?id=6702">InSIS reference</a> </p> <p><b>Studijn materily</b></p> <p><a href="latex_template.zip">LaTeXov aablona pro bakalYsk a diplomov prce Katedry ekonometrie (od Aleny Zikmundov)</a></p> <p><a href="KvantEkon.zip">Slidy k pYedmtu 4EK423 Kvantitativn ekonomie </a></p> <p><a href="KvEko01.pdf"> Draft skriptum k pYedmtu 4EK423 Kvantitativn ekonomie (.pdf, s V. Holm) </a></p> <p><a href="mi_lom.zip">Materily k pYedmtu MI-LOM Linern optimaliza n metody (FIT VUT)</a></p> <p><a href="clanek_liberec.pdf">Some Pictures and Scripts for Teaching IPMs (.pdf)</a></p> <p><a href="karmarkar.pdf">Pictures of Karmarkar's Linear Programming Algorithm (D. M. Gay)</a></ <p></p> <p> </p> <p> </p> <p></p> <p><b>Tmata bakalYskch, diplomovch a diserta nch prac: </b> viz informace na InSISu. Mte-li zjem o vlastn tma, je mo~n se domluvit, prosm napiate mail s Vaa pYedstavou. </p> <p></p> <p></p> <p><b> Selected Publications </b></p> <p><a href="vypocty"><b><i>Book Computations (Vpo ty, in Czech)</b></i></a></p> <p><a href="https://epubs.siam.org/doi/abs/10.1137/15M1027930"><b><i> A new algorithm for enumeration of cells of hyperplane arrangements and a comparison with Avis and Fukuda's Reverse Search (SIAM Journal on Discrete Mathematics, with M. Rada)</b></i></a></p> <p><a href="http://ieeexplore.ieee.org/document/6778021/"><b><i>Tolerance approach to possibilistic nonlinear regression with interval data (IEEE Transactions on Cybernetics, with M. Hladk)</b></i></a></p> <p><a href="https://link.springer.com/article/10.1007/s00362-017-0939-z"><b><i>EIV regression with bounded errors in data: Total 'least squares' with Chebyshev norm (Statistical Papers, with J. Antoch and M. Hladik)</b></i></a></p> <p><a href="http://www.springerlink.com/content/115ttx6lu150434k/"><b><i>Two complexity results on c-optimality in experimental design (Computational Optimization and Applications, with M. Hladk)</b></i></a></p> <p><a href="https://www.sciencedirect.com/science/article/pii/S1568494617300728"><b><i> Clustering retail products based on customer behavior (Applied Soft Computing, with O. Sokol and V. Holy)</b></i></a></p> <p><a href="http://www.sciencedirect.com/science/article/pii/S0020025513003459"><b><i>On the possibilistic approach to linear regression models involving uncertain, indeterminate or interval data (Information Sciences, with J. Antoch and M. Hladk)</b></i></a></p> <p><a href="http://www.kybernetika.cz/content/2011/1/38"><b><i>Binary segmentation and Bonferroni-type bounds (Kybernetika)</b></i></a></p> <p><a href="http://www.sciencedirect.com/science/article/pii/S0167947314001789"><b><i>The complexity of computation and approximation of the t-ratio over one-dimensional interval data (Computational Statistics and Data Analysis, with M. Hladik)</b></i></a></p> <p><a href="http://www.kybernetika.cz/content/2012/5/890"><b><i>Goffin's algorithm for zonotopes (Kybernetika)</b></i></a></p> <p><a href="http://www.sciencedirect.com/science/article/pii/S0377042715004069"><b><i>Inverse linear programming with interval coefficients (Journal of Computational and Applied Mathematics, with A. Mostafaee and M. Hladik)</b></i></a></p> <p><a href="http://www.sciencedirect.com/science/article/pii/S0165011411003514"><b><i>Interval regression by tolerance analysis approach (Fuzzy Sets and Systems, with M. Hladk) </b></i></a></p> <p><a href="http://www.measurement.sk/2011/Cerny.pdf"><b><i>On the possibilistic approach to linear regression with rounded or interval-censored data (Measurement Science Review, with M. Rada)</b></i></a></p> <p><a href="http://link.springer.com/article/10.1007/s10100-015-0402-y"><b><i>Inverse optimization: Towards the optimal parameter set of the inverse linear programming problem with interval coefficients (Central European Journal of Operational Research, with M. Hladik)</b></i></a></p> <p><a href="https://www.sciencedirect.com/science/article/pii/S0165011417303718"><b><i> Possibilistic linear regression with fuzzy data: Tolerance approach with prior information (Fuzzy Sets and Systems, with M. Hladik)</b></i></a></p> </body> </html> <p></p> <p></p> <p><b> Preprints and Technical Reports (fulltexts, pdf)</b></p> <p><a href="tr12018.pdf"><b><i>Narrow Big Data in a stream: Computational limitations and regression (Technical Report 012018)</b></i> </a></p>