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mso-ansi-font-size:10.0pt; font-family:Symbol;} @list l1:level7 {mso-level-number-format:bullet; mso-level-text:·ð; mso-level-tab-stop:252.0pt; mso-level-number-position:left; text-indent:-18.0pt; mso-ansi-font-size:10.0pt; font-family:Symbol;} @list l1:level8 {mso-level-number-format:bullet; mso-level-text:·ð; mso-level-tab-stop:288.0pt; mso-level-number-position:left; text-indent:-18.0pt; mso-ansi-font-size:10.0pt; font-family:Symbol;} @list l1:level9 {mso-level-number-format:bullet; mso-level-text:·ð; mso-level-tab-stop:324.0pt; mso-level-number-position:left; text-indent:-18.0pt; mso-ansi-font-size:10.0pt; font-family:Symbol;} ol {margin-bottom:0cm;} ul {margin-bottom:0cm;} --> </style> <!--[if gte mso 10]> <style> /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";} </style> <![endif]--><!--[if gte mso 9]><xml> <o:shapedefaults v:ext="edit" spidmax="1026"/> </xml><![endif]--><!--[if gte mso 9]><xml> <o:shapelayout v:ext="edit"> <o:idmap v:ext="edit" data="1"/> </o:shapelayout></xml><![endif]--> </head> <body bgcolor="#F0F0F0" lang=EN-US link=blue vlink=purple style='tab-interval: 36.0pt'> <div class=WordSection1> <h3 align=center style='text-align:center'><span style='mso-fareast-font-family: "Times New Roman"'>Papers available in electronic format<u1:p></u1:p><o:p></o:p></span></h3> <div class=MsoNormal align=center style='text-align:center'><span style='mso-fareast-font-family:"Times New Roman"'> <hr size=2 width="100%" noshade style='color:gray' align=center> </span></div> <span style='font-size:12.0pt;font-family:"Times New Roman","serif";mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:EN-US; mso-bidi-language:AR-SA'> <ul type=disc> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Nussbaum, M., </span><span lang=EN-GB style='mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-GB'>Spline smoothing in regression models and asymptotic efficiency in L<sub> 2</sub><em>.&nbsp; </em></span><em><span style='mso-fareast-font-family:"Times New Roman"'>Ann. Statist.</span></em><span style='mso-fareast-font-family:"Times New Roman"'> </span><strong><span lang=EN-GB style='mso-fareast-font-family:"Times New Roman";mso-ansi-language: EN-GB'>13</span></strong><span lang=EN-GB style='mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-GB'> 984-997 (1985<span class=GramE>)<u8:p> <span lang=EN-US style='mso-ansi-language:EN-US'>.</u8:p></span></span></span><span style='mso-fareast-font-family:"Times New Roman"'><a href="http://www.math.cornell.edu/~nussbaum/papers/85.pdf"> <span class=SpellE>pdf</span> </a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span lang=EN-GB style='mso-fareast-font-family:"Times New Roman";mso-ansi-language: EN-GB'>Golubev</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, G. and Nussbaum, M., </span><span lang=EN-GB style='mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-GB'>A risk bound in <span class=SpellE>Sobolev</span> class regression.&nbsp;&nbsp; </span><em><span style='mso-fareast-font-family:"Times New Roman"'>Ann. Statist. </span></em><strong><span lang=EN-GB style='mso-fareast-font-family:"Times New Roman";mso-ansi-language: EN-GB'>18</span></strong><span lang=EN-GB style='mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-GB'> 758-778 (1990)<u8:p></u8:p></span><span style='mso-fareast-font-family:"Times New Roman"'>.<a href="http://www.math.cornell.edu/~nussbaum/papers/90-1.pdf"> <span class=SpellE>pdf</span> </a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span lang=EN-GB style='mso-fareast-font-family:"Times New Roman";mso-ansi-language: EN-GB'>Golubev</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, G. and Nussbaum, M., <span class=title>Adaptive </span>spline<span class=title> estimates in a nonparametric regression model.</span> (Russian) <span class=SpellE><em>Teor</em></span><em>. </em><span class=SpellE><i>Veroyatnost</i></span><em>. </em><span class=SpellE><span class=GramE><i>i</i></span></span><em> </em><span class=SpellE><i>Primenen</i></span><em>.<u><span style='color:blue'> </span></u></em><strong>37 </strong>(1992), no. 3, 554-561; <em>translation in Theory </em><span class=SpellE><i>Probab</i></span><em>. Appl. </em><strong>37 </strong>(1992), no. 3, 521-529 <a href="http://www.math.cornell.edu/~nussbaum/papers/92-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Nussbaum, M., Asymptotic equivalence of density estimation and Gaussian white noise. <em>Ann. Statist. </em><strong><i>24</i></strong><em>, 2399-2430 </em>(<span class=GramE>1996 )</span>.<a href="http://www.math.cornell.edu/~nussbaum/papers/96.pdf"> <span class=SpellE>pdf</span> </a>The corresponding <a href="http://www.math.cornell.edu/~nussbaum/papers/96-p.pdf">preprint</a> contains one more section than the published paper, on&nbsp; application to <span class=SpellE>asymptotics</span> of estimation risk<o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Hall, P.,<span class=GramE>&nbsp; Nussbaum</span>, M., Stern, S. E. : On the estimation of a support curve of indeterminate sharpness. <em>J. Multivariate Analysis, </em><strong>62</strong> (2), 204-232 (1997).&nbsp; <a href="http://www.math.cornell.edu/~nussbaum/papers/97-1.pdf"><span class=SpellE><span class=GramE>pdf</span></span></a> &nbsp;&nbsp; Contains one more section than the published paper, with detailed discussions.<o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Grama</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, I<span class=GramE>&nbsp; and</span> Nussbaum, M: Asymptotic equivalence for nonparametric generalized linear models. <em>Prob. </em><span class=SpellE><i>Theor</i></span><em>. Rel. Fields, </em><strong>111</strong> (1998), 167-214<em> </em><a href="http://www.math.cornell.edu/~nussbaum/papers/98-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Milstein, G.&nbsp; <span class=GramE>and</span> Nussbaum, M., Diffusion approximation for nonparametric <span class=SpellE>autoregression</span>.&nbsp;&nbsp; <em>Prob. </em><span class=SpellE><i>Theor</i></span><em>. Rel. Fields</em> <em><b>112</b></em> (1998),<span class=GramE>&nbsp; 535</span>-543. <a href="http://www.math.cornell.edu/~nussbaum/papers/98-2.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Korostelev</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, A. and Nussbaum, M., The asymptotic <span class=SpellE>minimax</span> constant for sup-norm loss in nonparametric density estimation. <em>Bernoulli</em> <strong>5</strong> (1999) 1099-1118 <a href="http://www.math.cornell.edu/~nussbaum/papers/99-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Nussbaum, M., <span class=SpellE>Minimax</span> risk: <span class=SpellE>Pinsker</span> bound. <em>In: Encyclopedia of Statistical Sciences, Update Volume </em>3, 451-460 (<st1:place u7:st="on">S. <span class=SpellE>Kotz</st1:place></span>, Ed.)<em> 1999.</em> <em>Wiley, <st1:place u7:st="on"><ns0:state>New York</ns0:state></st1:place></em>.&nbsp; Survey paper written as an Encyclopedia entry. <a href="http://www.math.cornell.edu/~nussbaum/papers/99-2.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Milstein. G.<span class=GramE>&nbsp; and</span> Nussbaum, M., Maximum likelihood estimation of a nonparametric signal in white noise by optimal control.&nbsp; <em>Statistics and Probability Letters, </em><strong>55</strong> (2) 193-203 (2001)<em> </em><a href="http://www.math.cornell.edu/~nussbaum/papers/01-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Genon-Catalot</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, V, <ns0:city>Laredo</ns0:city>, C. and Nussbaum, M., Asymptotic equivalence of estimating <span class=GramE>a Poisson</span> intensity and a positive diffusion drift.&nbsp;<em> Ann.&nbsp; Statist. </em><strong>30 </strong>&nbsp;&nbsp;&nbsp; 731-753 (2002)&nbsp;&nbsp;&nbsp;&nbsp; <a href="http://www.math.cornell.edu/~nussbaum/papers/02-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Grama</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, I<span class=GramE>&nbsp; and</span> Nussbaum, M., Asymptotic equivalence for nonparametric regression.&nbsp;<em>Mathematical&nbsp;</em></span><em><span lang=EN-GB style='mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB'> Methods of Statistics &nbsp;</span></em><strong><span style='mso-fareast-font-family: "Times New Roman"'>11 </span></strong><span style='mso-fareast-font-family: "Times New Roman"'>(1) 1-36 (2002) <a href="http://www.math.cornell.edu/~nussbaum/papers/02-2.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Grama</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, I<span class=GramE>&nbsp; and</span> Nussbaum, M., A functional Hungarian construction for sums of independent random variables.&nbsp;<span class=SpellE><em>Annales</em></span><em> de </em><span class=SpellE><i>l'Institut</i></span><em> Henri </em><span class=SpellE><i>Poincar</i></span></span><span lang=EN-GB style='mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB'>e</span><em><span style='mso-fareast-font-family:"Times New Roman"'>, </span></em><span class=SpellE><i><span style='mso-fareast-font-family:"Times New Roman"'>Probabilit</span></i></span><span lang=EN-GB style='mso-fareast-font-family:"Times New Roman";mso-ansi-language: EN-GB'>e</span><span class=SpellE><em><span style='mso-fareast-font-family: "Times New Roman"'>s <span class=GramE>et</span></span></em></span><em><span style='mso-fareast-font-family:"Times New Roman"'> <span class=SpellE>Statistiques</span></span></em><span style='mso-fareast-font-family:"Times New Roman"'>, <strong>38</strong> (6) pp. 923-957 (2002) <a href="http://www.math.cornell.edu/~nussbaum/papers/02-3.pdf"><span class=SpellE>pdf</span></a> &nbsp;&nbsp; Based on the preprint <em>A nonstandard Hungarian construction for partial sums</em>. WIAS-preprint No. 324, 1997, <span class=SpellE>Weierstrass</span> Institute, <st1:place u7:st="on"><ns0:state>Berlin</ns0:state></st1:place><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Jaehnisch</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, M.&nbsp; <span class=GramE>and</span>&nbsp;Nussbaum, M., Asymptotic equivalence for a model of independent non identically distributed observations.&nbsp; <em>Statistics &amp; Decisions</em> <strong>21</strong> 197-218 (2003) <a href="http://www.math.cornell.edu/~nussbaum/papers/03-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'><ns0:state>Nussbaum, M., Equivalence <span class=SpellE>asymptotique</span> des experiences <span class=SpellE>statistiques</span>. (Survey paper in French). <em>Journal de la </em><span class=SpellE><i>Societe</i></span><i> <span class=SpellE>francaise</span><em> de </em><span class=SpellE>Statistique</span></i> <strong>145</strong> (1) 31-45 (2004) <a href="http://www.math.cornell.edu/~nussbaum/papers/04-1.pdf"><span class=SpellE>pdf</span></a> </ns0:state><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Jaehnisch</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, M.&nbsp; <span class=GramE>and</span>&nbsp;Nussbaum, M., A functional Hungarian construction for the sequential empirical process, <em>C.R. Acad. Sci. Paris, Ser</em>. I <strong>341</strong> 761-763 (2005) <a href="http://www.math.cornell.edu/~nussbaum/papers/05-2.pdf"><span class=SpellE>pdf</span></a> <o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Audenaert</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, K. M. R., Nussbaum, M., <span class=SpellE>SzkoBa</span>, A. and <span class=SpellE>Verstraete</span>, F., Asymptotic error rates in quantum hypothesis testing. <span class=SpellE><em>Commun</em></span><em>. Math. Phys.</em> <strong>279</strong> (1) 251-283 (2008) <a href="http://www.math.cornell.edu/~nussbaum/papers/08-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Nussbaum, M. and <span class=SpellE>SzkoBa</span>, A., The <span class=SpellE>Chernoff</span> lower bound for symmetric quantum hypothesis testing. </span><em><span lang=EN-GB style='mso-fareast-font-family: "Times New Roman";mso-ansi-language:EN-GB'>Ann. Statist. </span></em><strong><span style='mso-fareast-font-family:"Times New Roman"'>37</span></strong><span style='mso-fareast-font-family:"Times New Roman"'> (2) 1040-1057&nbsp;(2009)&nbsp; <a href="http://www.math.cornell.edu/~nussbaum/papers/09-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE><span style='mso-fareast-font-family:"Times New Roman"'>Golubev</span></span><span style='mso-fareast-font-family:"Times New Roman"'>, G. K.,<span class=GramE>&nbsp; Nussbaum</span>, M. and Zhou,&nbsp; H. H.,&nbsp; Asymptotic equivalence of spectral density estimation and Gaussian white noise, </span><em><span lang=EN-GB style='mso-fareast-font-family:"Times New Roman"; mso-ansi-language:EN-GB'>Ann.&nbsp; Statist. </span></em><strong><span style='mso-fareast-font-family:"Times New Roman"'>38</span></strong><span style='mso-fareast-font-family:"Times New Roman"'> (1) 181-214&nbsp;(2010)&nbsp; <a href="http://www.math.cornell.edu/~nussbaum/papers/10-1.pdf"><span class=SpellE>pdf</span></a> The corresponding <a href="http://www.math.cornell.edu/~nussbaum/papers/05-1.pdf">preprint</a> contains more detailed proofs <o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Nussbaum, M. and <span class=SpellE>SzkoBa</span>, A., Exponential error rates in multiple state discrimination on a quantum spin chain, <em>J. Math. Phys. </em><strong>51</strong> 072203 (2010)&nbsp; <a href="http://www.math.cornell.edu/~nussbaum/papers/10-2.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Nussbaum, M. and <span class=SpellE>SzkoBa</span>, A., </span>Asymptotically optimal discrimination between multiple pure quantum states. In:<span style='mso-spacerun:yes'>  </span><i style='mso-bidi-font-style:normal'>Theory of Quantum Computation, Communication and Cryptography. 5th Conference, TQC 2010, Leeds, UK. Revised Selected Papers. Lecture Notes in Computer Science</i>, <span class=SpellE>Vol</span> 6519, <i style='mso-bidi-font-style: normal'>van Dam, <span class=SpellE>Wim</span>; <span class=SpellE>Kendon</span>, Vivien M.; <span class=SpellE>Severini</span>, Simone (Eds.), pp. 1-8, Springer (2011)</i><span style='mso-fareast-font-family:"Times New Roman"'> <a href="http://www.math.cornell.edu/~nussbaum/papers/11-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Nussbaum, M. and <span class=SpellE>SzkoBa</span>, A., </span>An asymptotic error bound for testing multiple quantum hypotheses. <i><span lang=EN-GB style='mso-ansi-language:EN-GB'>Ann.<span style='mso-spacerun:yes'>  </span>Statist. </span></i><span lang=EN-GB style='mso-ansi-language:EN-GB;mso-bidi-font-style:italic'><span style='mso-spacerun:yes'> </span></span><b style='mso-bidi-font-weight: normal'><span style='font-family:"Times-Roman","serif";mso-bidi-font-family: Times-Roman'>39</span></b><span style='font-family:"Times-Roman","serif"; mso-bidi-font-family:Times-Roman'> (6) 3211 3233 </span>(2011) <span style='mso-fareast-font-family:"Times New Roman"'><a href="http://www.math.cornell.edu/~nussbaum/papers/11-2.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span class=SpellE>Tecuapetla</span>-Gómez, I. <span style='mso-spacerun:yes'> </span><span class=GramE>and</span> <span style='mso-fareast-font-family:"Times New Roman"'>Nussbaum, M., </span><span style='mso-bidi-font-weight:bold'>On large deviations in testing simple hypotheses for locally stationary Gaussian processes. <i style='mso-bidi-font-style: normal'>Statistical<span style='mso-spacerun:yes'>  </span>Inference for Stochastic Processes</i>, <b>15</b> (3) 225-239 (2012) </span><span style='mso-fareast-font-family:"Times New Roman"'><a href="http://www.math.cornell.edu/~nussbaum/papers/12-1.pdf"><span class=SpellE>pdf</span></a><o:p></o:p></span></li> <li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto; mso-list:l0 level1 lfo3;tab-stops:list 36.0pt'><span style='mso-fareast-font-family: "Times New Roman"'>Nussbaum, M., </span>Attainment of the multiple <span class=GramE>quantum</span> <span class=SpellE>Chernoff</span> bound for certain ensembles of mixed states. <span style='mso-spacerun:yes'>  </span>In: <i style='mso-bidi-font-style:normal'>Proceedings of the First International Workshop</i> <i style='mso-bidi-font-style: normal'>on Entangled Coherent States and Its Application to Quantum Information Science,</i> (<span class=SpellE>Usuda</span>, T.S., Kato, K., Eds.), <span class=SpellE>Tamagawa</span> University Quantum ICT Research Institute, Tokyo, Japan<span class=GramE>,<span style='mso-spacerun:yes'>  </span>77</span>-81 (2013). <span style='mso-fareast-font-family:"Times New Roman"'><a href="http://www.math.cornell.edu/~nussbaum/papers/13-1.pdf"><span class=SpellE>pdf</span></a> </span>Also at <i style='mso-bidi-font-style: normal'>arXiv:1308:6563 [quant-<span class=SpellE>ph</span>]</i> <span style='mso-bidi-font-weight:bold'><span style='mso-spacerun:yes'> </span></span><span style='mso-fareast-font-family:"Times New Roman"'><o:p></o:p></span></li> </ul> </span> <p class=MsoNormal align=center style='text-align:center'><span style='mso-fareast-font-family:"Times New Roman"'><span style='mso-spacerun:yes'> </span></span><o:p></o:p></p> <p><u1:p></u1:p>&nbsp;</p> </div> </body> </html>