A.J. van Es, P.J.C. Spreij, J.H. van Zanten (2011),
Nonparametric methods for volatility density estimation, Advanced Mathematical Methods for Finance, Chapter 11, 293-312 (Giulia di Nunno, Bernt Øksendal Eds., Springer).
L. Finesso, A. Grassi, and P. Spreij (2010),
Two-step nonnegative matrix factorization algorithm for the approximate realization of hidden Markov models,
Proceedings of the 19th International Symposium on
Mathematical Theory of Networks and Systems - MTNS 2010,
5-9 July, 2010, Budapest (A. Edelmayer ed.), 369-374.
André Klein and Peter Spreij (2009), Matrix differential
calculus applied to multiple stationary time series and an
extended Whittle formula for information matrices, Linear
Algebra and its Applications430(2-3), 674-691.
Matthijs van Veelen and Peter Spreij (2009), Evolution in games with a continuous action space, Economic Theory39, 355–376.
A. Lucas, P. Klaassen, P.J.C. Spreij and S. Straetmans (2003),
Tail behaviour of credit loss distributions for general latent
factor models, Applied Mathematical Finance10 (4),
337-357.
A. Klein and P.J.C. Spreij (2001),
On Stein's equation,
Vandermonde matrices and Fisher's information matrix of time
series processes. Part I: The autoregressive moving average
process, Linear Algebra and its Applications329(1-3),
9-47.
K. Dzhaparidze. P.J.C. Spreij and J.H. van Zanten (2000), Some
aspects of modeling and statistical inference for financial
models, Statistica Neerlandica54, 265-292.
P. Klaassen, A. Lucas, P. Spreij, S. Straetmans. (1999):
On the Distribution of Credit Losses of Corporate Bond and Loan Portfolios,
in: Financiering en Belegging 1999 (deel 22), Rotterdam, Erasmus Universiteit, 172-188.
K. Dzhaparidze, P.J.C. Spreij and E. Valkeila (1997), On
Hellinger Processes for Parametric Families of Experiments,
Statistics and control of stochastic processes, the Liptser
Festschrift, Yu.M. Kabanov, B.L. Rozovskii, A.N. Shiryaev
Eds., 41-61, World Scientific.
P.J.C. Spreij (1996), A crash course in stochastic calculus with
applications to mathematical finance, CWI Quarterly
9, 357-388.
P.J.C. Spreij (1996), On Markov chains and filtrations (no wine
nor bottles), in `Frontiers in pure and applied probability
II', A.N. Shiryaev et al. eds, TVP Science Publishers, Moscow,
187-194.
K. Dzhaparidze and P.J.C. Spreij (1996), On optimality for
regular projective estimators for semimartingale models, part
III: One step improvements, Stochastics and Stochastics
Reports56, 63-74.
P.J.C. Spreij (1994), On Markov chains and point processes, in:
"Information theory, statistical decision functions, random
processes", P. Lachout, J.A. Vísek eds., Academy of
Sciences of the Czech Republic.
K. Dzhaparidze and P.J.C. Spreij (1994),
Spectral
characterization of the optional quadratic variation process,
Stoch. Proc. Applic.54, 165-174.
K. Dzhaparidze and P.J.C. Spreij (1994), On optimality of
regular projective estimators for semimartingale models, part II:
asymptotically linear estimators, Stochastics and Stochastics
Reports47, 247-268.
Lorenzo Finesso, Angela Grassi, Peter Spreij (2010),
Two-step Nonnegative Matrix Factorization Algorithm for the Approximate Realization of Hidden Markov Models, Mathematics arXiv 0812.1804.
Lorenzo Finesso, Peter Spreij (2010), Alternating I-divergence
minimization in factor analysis (revised version), Mathematics arXiv 0812.1804.
Peter Spreij, Enno Veerman (2010), The affine transform formula for affine diffusions with convex state space, Mathematics arXiv 1005.1099.
Peter Spreij, Enno Veerman (2010), Affine Diffusions with non-Canonical State Space, Mathematics arXiv 1004.0429.
Peter Spreij, Enno Veerman (2008), Negative volatility for a 2-dimensional square root SDE, Mathematics arXiv 0807.1224.