Probabilistic methods for financial and marketing informatics

... collection of mathematical tools for both understanding and solving problems in robotics and computer vision Several classes at Stanford cover the topics presented in this class, and so in much ... want to understand robotics or vision, you should take classes in these subjects, since this course is not on robotics or vision On the other hand, if you plan to study robotics, vision, or other ... following R Courant and D Hilbert, Methods of Mathematical Physics, Volume I and II, John Wiley and Sons, 1989 D A Danielson, Vectors and Tensors in Engineering and Physics, Addison-Wesley, 1992...

... condition and that the condition rather than the medication confers the risk Epidemiologists would say that the condition is a confounder of the observed association between the medication and cancer ... appendix at the end of this chapter which defines terms used in the Introduction and in other chapters; it also provides more details on methods and data sources TECHNICAL APPENDIX Age-adjusted rate: ... cases Calculation of rates (see technical appendix) The incidence and mortality rates are the annual rates per million person years For simplicity, these are labeled as rates per million Rates representing...

... likelihood convergence Conditional Random Fields In what follows, X is a random variable over data sequences to be labeled, and Y is a random variable over corresponding label sequences All components ... minima Conditional random fields offer a unique combination of properties: discriminatively trained models for sequence segmentation and labeling; combination of arbitrary, overlapping and agglomerative ... techniques of conditional random fields Related Work and Conclusions As far as we know, the present work is the first to combine the benefits of conditional models with the global normalization of random...

... procedures are used for the approximation of the Da (0) with domains having a simpler shape For example, in the case of [4, Theorem 4.20, page 170] the domain which approximates the Da (0) is defined ... k =0 The Lyapunov function V can be found theoretically using relation (1.5) In the followings, we will shortly present the procedure of determination and approximation of the domain of attraction ... [3] E Kaslik, A M Balint, A Grigis, and St Balint, An extension of the characterization of the domain of attraction of an asymptotically stable fixed point in the case of a nonlinear discrete dynamical...

... assumption, the only things that the forager does is search and handle prey items, so that T ¼ S þ H or T ¼ S þ h1 l1 S ¼ S 1 þ l1 h1 Þ (1: 1) We now solve this equation for the time spent searching, ... equal to and solving for x Exercise 1. 4 (M) Show that the optimal egg size based on Eq (1. 8) is xopt ¼ fcða þ 1 g1=a and for the values from Einum and Fleming that this is 0 .12 44 g For comparison, ... time available and obtain S¼ T þ l1 h1 (1: 2) Since the number of prey items encountered is l1S and each item provides net energy E1, the total energy from specializing is E1l1S, and the rate of...