Stochastic models in the life sciences and their methods of analysis:
"Biological processes are evolutionary in nature and often evolve in a noisy environment or in the presence of uncertainty. Such evolving phenomena are necessarily modeled mathematically by stochastic differential/difference equations (SDE), which have been recognized as essential for a true un...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific
2019
|
| Schlagworte: | |
| Online-Zugang: | UBY01 URL des Erstveröffentlichers |
| Zusammenfassung: | "Biological processes are evolutionary in nature and often evolve in a noisy environment or in the presence of uncertainty. Such evolving phenomena are necessarily modeled mathematically by stochastic differential/difference equations (SDE), which have been recognized as essential for a true understanding of many biological phenomena. Yet, there is a dearth of teaching material in this area for interested students and researchers, notwithstanding the addition of some recent texts on stochastic modelling in the life sciences. The reason may well be the demanding mathematical pre-requisites needed to "solve" SDE. A principal goal of this volume is to provide a working knowledge of SDE based on the premise that familiarity with the basic elements of a stochastic calculus for random processes is unavoidable. Through some SDE models of familiar biological phenomena, we show how stochastic methods developed for other areas of science and engineering are also useful in the life sciences. In the process, the volume introduces to biologists a collection of analytical and computational methods for research and applications in this emerging area of life science. The additions broaden the available tools for SDE models for biologists that have been limited by and large to stochastic simulations."-- |
| Beschreibung: | Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader |
| Beschreibung: | 1 online resource (476 pages) |
| ISBN: | 9789813274617 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV046808685 | ||
| 003 | DE-604 | ||
| 005 | 20201102 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 200715s2019 |||| o||u| ||||||eng d | ||
| 020 | |a 9789813274617 |9 978-981-3274-61-7 | ||
| 024 | 7 | |a 10.1142/11108 |2 doi | |
| 035 | |a (ZDB-124-WOP)00011108 | ||
| 035 | |a (OCoLC)1180290894 | ||
| 035 | |a (DE-599)BVBBV046808685 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-706 | ||
| 084 | |a QH 237 |0 (DE-625)141552: |2 rvk | ||
| 084 | |a SK 820 |0 (DE-625)143258: |2 rvk | ||
| 100 | 1 | |a Wan, Frederic Y. M. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Stochastic models in the life sciences and their methods of analysis |c Frederic Y M Wan |
| 264 | 1 | |a Singapore |b World Scientific |c 2019 | |
| 300 | |a 1 online resource (476 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader | ||
| 505 | 8 | |a Includes bibliographical references and index | |
| 520 | |a "Biological processes are evolutionary in nature and often evolve in a noisy environment or in the presence of uncertainty. Such evolving phenomena are necessarily modeled mathematically by stochastic differential/difference equations (SDE), which have been recognized as essential for a true understanding of many biological phenomena. Yet, there is a dearth of teaching material in this area for interested students and researchers, notwithstanding the addition of some recent texts on stochastic modelling in the life sciences. The reason may well be the demanding mathematical pre-requisites needed to "solve" SDE. A principal goal of this volume is to provide a working knowledge of SDE based on the premise that familiarity with the basic elements of a stochastic calculus for random processes is unavoidable. Through some SDE models of familiar biological phenomena, we show how stochastic methods developed for other areas of science and engineering are also useful in the life sciences. In the process, the volume introduces to biologists a collection of analytical and computational methods for research and applications in this emerging area of life science. The additions broaden the available tools for SDE models for biologists that have been limited by and large to stochastic simulations."-- | ||
| 650 | 4 | |a Life sciences / Mathematical models | |
| 650 | 4 | |a Stochastic differential equations | |
| 650 | 0 | 7 | |a Stochastisches Modell |0 (DE-588)4057633-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Biowissenschaften |0 (DE-588)4129772-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Markov-Kette |0 (DE-588)4037612-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Stochastische Differentialgleichung |0 (DE-588)4057621-8 |2 gnd |9 rswk-swf |
| 653 | |a Electronic books | ||
| 689 | 0 | 0 | |a Stochastisches Modell |0 (DE-588)4057633-4 |D s |
| 689 | 0 | 1 | |a Biowissenschaften |0 (DE-588)4129772-6 |D s |
| 689 | 0 | 2 | |a Markov-Kette |0 (DE-588)4037612-6 |D s |
| 689 | 0 | 3 | |a Stochastische Differentialgleichung |0 (DE-588)4057621-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9789813274600 |
| 856 | 4 | 0 | |u https://www.worldscientific.com/worldscibooks/10.1142/11108 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-124-WOP | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032217289 | ||
| 966 | e | |u https://www.worldscientific.com/worldscibooks/10.1142/11108 |l UBY01 |p ZDB-124-WOP |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804181612332580864 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Wan, Frederic Y. M. |
| author_facet | Wan, Frederic Y. M. |
| author_role | aut |
| author_sort | Wan, Frederic Y. M. |
| author_variant | f y m w fym fymw |
| building | Verbundindex |
| bvnumber | BV046808685 |
| classification_rvk | QH 237 SK 820 |
| collection | ZDB-124-WOP |
| contents | Includes bibliographical references and index |
| ctrlnum | (ZDB-124-WOP)00011108 (OCoLC)1180290894 (DE-599)BVBBV046808685 |
| discipline | Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Mathematik Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03432nmm a2200529zc 4500</leader><controlfield tag="001">BV046808685</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20201102 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">200715s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789813274617</subfield><subfield code="9">978-981-3274-61-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1142/11108</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-124-WOP)00011108</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1180290894</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046808685</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-706</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QH 237</subfield><subfield code="0">(DE-625)141552:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 820</subfield><subfield code="0">(DE-625)143258:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wan, Frederic Y. M.</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic models in the life sciences and their methods of analysis</subfield><subfield code="c">Frederic Y M Wan</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore</subfield><subfield code="b">World Scientific</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (476 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Biological processes are evolutionary in nature and often evolve in a noisy environment or in the presence of uncertainty. Such evolving phenomena are necessarily modeled mathematically by stochastic differential/difference equations (SDE), which have been recognized as essential for a true understanding of many biological phenomena. Yet, there is a dearth of teaching material in this area for interested students and researchers, notwithstanding the addition of some recent texts on stochastic modelling in the life sciences. The reason may well be the demanding mathematical pre-requisites needed to "solve" SDE. A principal goal of this volume is to provide a working knowledge of SDE based on the premise that familiarity with the basic elements of a stochastic calculus for random processes is unavoidable. Through some SDE models of familiar biological phenomena, we show how stochastic methods developed for other areas of science and engineering are also useful in the life sciences. In the process, the volume introduces to biologists a collection of analytical and computational methods for research and applications in this emerging area of life science. The additions broaden the available tools for SDE models for biologists that have been limited by and large to stochastic simulations."--</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Life sciences / Mathematical models</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Stochastic differential equations</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stochastisches Modell</subfield><subfield code="0">(DE-588)4057633-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Biowissenschaften</subfield><subfield code="0">(DE-588)4129772-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Markov-Kette</subfield><subfield code="0">(DE-588)4037612-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Stochastische Differentialgleichung</subfield><subfield code="0">(DE-588)4057621-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Electronic books</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Stochastisches Modell</subfield><subfield code="0">(DE-588)4057633-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Biowissenschaften</subfield><subfield code="0">(DE-588)4129772-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Markov-Kette</subfield><subfield code="0">(DE-588)4037612-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Stochastische Differentialgleichung</subfield><subfield code="0">(DE-588)4057621-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9789813274600</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.worldscientific.com/worldscibooks/10.1142/11108</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-124-WOP</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032217289</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://www.worldscientific.com/worldscibooks/10.1142/11108</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-124-WOP</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV046808685 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T14:58:19Z |
| indexdate | 2024-07-10T08:54:25Z |
| institution | BVB |
| isbn | 9789813274617 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032217289 |
| oclc_num | 1180290894 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 online resource (476 pages) |
| psigel | ZDB-124-WOP |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | World Scientific |
| record_format | marc |
| spelling | Wan, Frederic Y. M. Verfasser aut Stochastic models in the life sciences and their methods of analysis Frederic Y M Wan Singapore World Scientific 2019 1 online resource (476 pages) txt rdacontent c rdamedia cr rdacarrier Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references and index "Biological processes are evolutionary in nature and often evolve in a noisy environment or in the presence of uncertainty. Such evolving phenomena are necessarily modeled mathematically by stochastic differential/difference equations (SDE), which have been recognized as essential for a true understanding of many biological phenomena. Yet, there is a dearth of teaching material in this area for interested students and researchers, notwithstanding the addition of some recent texts on stochastic modelling in the life sciences. The reason may well be the demanding mathematical pre-requisites needed to "solve" SDE. A principal goal of this volume is to provide a working knowledge of SDE based on the premise that familiarity with the basic elements of a stochastic calculus for random processes is unavoidable. Through some SDE models of familiar biological phenomena, we show how stochastic methods developed for other areas of science and engineering are also useful in the life sciences. In the process, the volume introduces to biologists a collection of analytical and computational methods for research and applications in this emerging area of life science. The additions broaden the available tools for SDE models for biologists that have been limited by and large to stochastic simulations."-- Life sciences / Mathematical models Stochastic differential equations Stochastisches Modell (DE-588)4057633-4 gnd rswk-swf Biowissenschaften (DE-588)4129772-6 gnd rswk-swf Markov-Kette (DE-588)4037612-6 gnd rswk-swf Stochastische Differentialgleichung (DE-588)4057621-8 gnd rswk-swf Electronic books Stochastisches Modell (DE-588)4057633-4 s Biowissenschaften (DE-588)4129772-6 s Markov-Kette (DE-588)4037612-6 s Stochastische Differentialgleichung (DE-588)4057621-8 s DE-604 Erscheint auch als Druck-Ausgabe 9789813274600 https://www.worldscientific.com/worldscibooks/10.1142/11108 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Wan, Frederic Y. M. Stochastic models in the life sciences and their methods of analysis Includes bibliographical references and index Life sciences / Mathematical models Stochastic differential equations Stochastisches Modell (DE-588)4057633-4 gnd Biowissenschaften (DE-588)4129772-6 gnd Markov-Kette (DE-588)4037612-6 gnd Stochastische Differentialgleichung (DE-588)4057621-8 gnd |
| subject_GND | (DE-588)4057633-4 (DE-588)4129772-6 (DE-588)4037612-6 (DE-588)4057621-8 |
| title | Stochastic models in the life sciences and their methods of analysis |
| title_auth | Stochastic models in the life sciences and their methods of analysis |
| title_exact_search | Stochastic models in the life sciences and their methods of analysis |
| title_exact_search_txtP | Stochastic models in the life sciences and their methods of analysis |
| title_full | Stochastic models in the life sciences and their methods of analysis Frederic Y M Wan |
| title_fullStr | Stochastic models in the life sciences and their methods of analysis Frederic Y M Wan |
| title_full_unstemmed | Stochastic models in the life sciences and their methods of analysis Frederic Y M Wan |
| title_short | Stochastic models in the life sciences and their methods of analysis |
| title_sort | stochastic models in the life sciences and their methods of analysis |
| topic | Life sciences / Mathematical models Stochastic differential equations Stochastisches Modell (DE-588)4057633-4 gnd Biowissenschaften (DE-588)4129772-6 gnd Markov-Kette (DE-588)4037612-6 gnd Stochastische Differentialgleichung (DE-588)4057621-8 gnd |
| topic_facet | Life sciences / Mathematical models Stochastic differential equations Stochastisches Modell Biowissenschaften Markov-Kette Stochastische Differentialgleichung |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11108 |
| work_keys_str_mv | AT wanfredericym stochasticmodelsinthelifesciencesandtheirmethodsofanalysis |