near to final draft

tex/egbib.bib

@@ -549,17 +549,6 @@ ISSN={0162-8828},}
     year = {2011},
 }
 
-@ARTICLE{Doucet00:OSM,
-	author = {Arnaud Doucet and Simon Godsill and Christophe Andrieu},
-	title = {{On Sequential Monte Carlo Sampling Methods for Bayesian Filtering}},
-	journal = {Statistics and Computing},
-	year = {2000},
-	IGNOREmonth = {July},
-	volume = {10},
-	number = {3},
-	pages = {197-208},
-}
-
 @article{Gordon93:NAT,
 	author = {N. J. Gordon and D. J. Salmond and A. F. M. Smith},
 	title = {{Novel approach to nonlinear/non-Gaussian Bayesian state estimation}},
@@ -2074,7 +2063,7 @@ year = {2014}
 	isbn={978-3-540-78639-9},
 	booktitle={Bildverarbeitung f\"ur die Medizin 2008},
 	series={Informatik Aktuell},
-	editor={Tolxdorff, Thomas and Braun, J\"urgen and Deserno, Thomas M. and Horsch, Alexander and Handels, Heinz and Meinzer, Hans-Peter},
+	IGNOREeditor={Tolxdorff, Thomas and Braun, J\"urgen and Deserno, Thomas M. and Horsch, Alexander and Handels, Heinz and Meinzer, Hans-Peter},
 	doi={10.1007/978-3-540-78640-5_58},
 	title={{3D Blood Flow Reconstruction from 2D Angiograms}},
 	publisher={Springer Berlin Heidelberg},
@@ -2105,7 +2094,7 @@ journal={Statistics and Computing},
 volume={10},
 number={3},
 doi={10.1023/A:1008935410038},
-title={On sequential Monte Carlo sampling methods for Bayesian filtering},
+title={{On Sequential Monte Carlo Sampling Methods for Bayesian Filtering}},
 publisher={Kluwer Academic Publishers},
 keywords={Bayesian filtering; nonlinear non-Gaussian state space models; sequential Monte Carlo methods; particle filtering; importance sampling; Rao-Blackwellised estimates},
 author={Doucet, Arnaud and Godsill, Simon and Andrieu, Christophe},
@@ -2320,15 +2309,6 @@ IGNOREmonth={Apr},
   publisher={John Wiley \& Sons}
 }
 
-@inproceedings{doucet2000rao,
-  title={Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks},
-  author={Doucet, Arnaud and De Freitas, Nando and Murphy, Kevin and Russell, Stuart},
-  booktitle={Proc. of the Sixteenth Conf. on Uncertainty in Artificial Intelligence},
-  pages={176--183},
-  year={2000},
-  organization={Morgan Kaufmann Publishers Inc.}
-}
-
 @article{briers2010smoothing,
   title={Smoothing Algorithms for State-Space Models},
   author={Briers, Mark and Doucet, Arnaud and Maskell, Simon},